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Associate Director, Data Scientist & Data Operations-logo
Associate Director, Data Scientist & Data Operations
Eisai USTampa, FL
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 1 week ago

Associate Director, Data Scientist & Data Operations-logo
Associate Director, Data Scientist & Data Operations
Eisai USNutley, NJ
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 1 week ago

Senior Data Engineer, Data Platform - Intelliscript (Remote)-logo
Senior Data Engineer, Data Platform - Intelliscript (Remote)
MillimanBrookfield, WI
What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company and learn more about our cultural values here. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript's Data has been a key part of our success and is critical to our future. In this position as a Senior Data Engineer of IntelliScript's Data Platform, you will be responsible for designing and implementing robust Data Platform solutions that meet our business objectives while ensuring compliance with industry-leading data privacy standards. You will collaborate closely with cross-functional agile teams to drive data architecture decisions, implement best practices, and contribute to the success of our projects. What you will be doing Data Platform: Creation of a Databricks Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise. Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage and data quality Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance ETL: Building solutions within Delta Live Tables and automation of transformations Medallion Architecture: Building out performant enterprise-level medallion architecture(s) Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles Costs: Working with the business to build cost effective and cost transparent Data solutions Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance Experience working with Migration tools i.e., AWS DMS, AWS Glue, Fivetran, integrate.io Identify and implement improvements to enhance data processing efficiency Experience with building out effective pipeline monitoring solutions Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based 'big data' technologies. Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data Assemble large, complex data sets that meet functional and non-functional business requirements Develop and maintain data models, ensuring they align with business objectives and data privacy regulations Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions. Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices. Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. What we need 7+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products Expert level experience working in Databricks and AWS Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, and MongoDB Experience managing and standardizing clinical data from structured and unstructured sources Experience building and managing solutions on AWS Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7 Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm Expert in building out data models, data warehouses, designing of data lakes for enterprise (and product use) Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions. Experience in performance tuning, query optimization, security, monitoring, and release management. Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources What you bring to the table Demonstrated "let's find a way to do it" attitude - no task is too big or too small Effective collaboration and communication across multiple technical and non-technical disciplines Comfortable working through ambiguous situations Able to teach & mentor others on new/emerging technologies Customer obsessed with a business-centric focus Able to understand both strategic and tactical needs and balance appropriately Driven, thorough and self-directed Able to lead through influence and persuasion Wish list Bachelor's degree or master's degree in computer science, data engineering or related field 10+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products Health and Life Insurance business experience Associate or Professional level solution architecture certification in Azure and/or AWS Experience in Snowflake Location The expected application deadline for this job is June 30, 2025. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. The salary range is $98,000 - $222,000, depending on relevant factors, including but not limited to, education, relevant work experience, qualifications, skills, certifications, location, etc. If relevant experience is less than 10 years the range would be $98,000 - $198,000; for experience of greater than 10 years, the range would be $109,000 - $222,000. In addition, we offer a performance-based bonus plan, profit sharing, and generous benefits. Milliman Benefits (Full time U.S. positions only) At Milliman, we focus on creating an environment that recognizes - and meets - the personal and professional needs of the individual and their family. We offer competitive benefits which include the following based on plan eligibility: Medical, dental and vision coverage for employees and their dependents, including domestic partners A 401(k) plan with matching program, and profit-sharing contribution Employee Assistance Program (EAP) A discretionary bonus program Paid Time Off (PTO) starts accruing on the first day of work and can be used for any reason; full-time employees will accrue 15 days of PTO per year, and employees working less than a full-time schedule will accrue PTO at a prorated amount based on hours worked Family building benefits, including adoption and fertility assistance and paid parental leave up to 12 weeks for employees who have worked for Milliman for at least 12 months and have worked at least 1,250 hours in the preceding 12-month period Commuter Program, which allows you to use pre-tax dollars to pay for your parking or public transit expenses to get to and from work. You may utilize this benefit any time throughout the year and funds will be available the first of the month following your first contribution A minimum of eight paid holidays Milliman covers 100% of the premiums for life insurance, AD&D, and both short-term and long-term disability coverage Flexible spending accounts allow employees to set aside pre-tax dollars to pay for dependent care, transportation, and applicable medical needs Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Posted 30+ days ago

CDO - AI Data Quality Data Scientist-Sr Manager-logo
CDO - AI Data Quality Data Scientist-Sr Manager
PwCSaint Louis, MO
Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Associate Director, Data Scientist & Data Operations-logo
Associate Director, Data Scientist & Data Operations
Eisai USMiami, FL
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 1 week ago

Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate-logo
Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate
PwCPhiladelphia, PA
Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities Lead initiatives in data governance and strategy development Develop, implement, and maintain data quality processes to ensure data integrity across the organization. Develop and implement data integration solutions for metadata, data lineage, and data quality. Monitor data quality metrics and perform regular data quality assessments. Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. Collaborate with data owners and stewards to ensure compliance with data quality standards. Guide and mentor team members to uphold exemplary standards Cultivate meaningful client relationships and understand their business needs Drive the execution of data governance projects and roadmaps Support the integration of technology solutions in complex settings Analyze intricate problems to deliver impactful solutions Foster a culture of continuous improvement and learning Maintain adherence to cybersecurity and information security protocols What You Must Have Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming 3 years of experience What Sets You Apart Master's Degree preferred EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred Managing projects with data governance strategy and architecture Leading Data Governance projects and defining strategy Deploying data lineage and data flow inventory solutions Implementing structured data archiving and lifecycle management Understanding data privacy and regulatory aspects Experience with implementation of Batch, and API pipelines. Experience with SQL, DQ tools like collibra, monte carlo, soda, informatica, anomalo, Experience implementing data quality framework and socialization Understanding of data observability frameworks Hands on experience with platform observability tools like datadog, Grafana, Splunk Experience driving incident management initiatives. Good understanding of the stages of incidents Designing conceptual and physical data architecture Utilizing data quality tools for rule development Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate-logo
Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate
PwCSilicon Valley, CA
Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities Lead initiatives in data governance and strategy development Develop, implement, and maintain data quality processes to ensure data integrity across the organization. Develop and implement data integration solutions for metadata, data lineage, and data quality. Monitor data quality metrics and perform regular data quality assessments. Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. Collaborate with data owners and stewards to ensure compliance with data quality standards. Guide and mentor team members to uphold exemplary standards Cultivate meaningful client relationships and understand their business needs Drive the execution of data governance projects and roadmaps Support the integration of technology solutions in complex settings Analyze intricate problems to deliver impactful solutions Foster a culture of continuous improvement and learning Maintain adherence to cybersecurity and information security protocols What You Must Have Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming 3 years of experience What Sets You Apart Master's Degree preferred EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred Managing projects with data governance strategy and architecture Leading Data Governance projects and defining strategy Deploying data lineage and data flow inventory solutions Implementing structured data archiving and lifecycle management Understanding data privacy and regulatory aspects Experience with implementation of Batch, and API pipelines. Experience with SQL, DQ tools like collibra, monte carlo, soda, informatica, anomalo, Experience implementing data quality framework and socialization Understanding of data observability frameworks Hands on experience with platform observability tools like datadog, Grafana, Splunk Experience driving incident management initiatives. Good understanding of the stages of incidents Designing conceptual and physical data architecture Utilizing data quality tools for rule development Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

CDO - AI Data Quality Data Scientist-Sr Manager-logo
CDO - AI Data Quality Data Scientist-Sr Manager
PwCMinneapolis, MN
Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Data Analyst - Corporate Technology Data Engineering & Analytics-logo
Data Analyst - Corporate Technology Data Engineering & Analytics
MassMutual Financial GroupSpringfield, MA
The Opportunity Join our dynamic team as a Data Analyst - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data strategy. This role is crucial in driving digital transformation and operational efficiency across financial systems that support Actuarial, FP&A, Reinsurance, Treasury, Accounting and Tax functions and requires a balance of technical expertise, business acumen, and leadership capabilities. You will work cross-functionally to deliver insights, mentor team members, define standards, and collaborate with both onshore and offshore teams to enable high-quality, scalable data solutions. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Analyze data related to life insurance operations including policy administration, reinsurance, reserves, and risk to generate actionable insights. Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation. Collaborate with business stakeholders to gather requirements, define KPIs, and create reporting solutions aligned to strategic objectives. Partner with data engineers, architects, and IT to validate datasets, optimize queries, and ensure scalable data pipelines. Work directly with onshore teams to coordinate analysis, share requirements, and maintain consistent quality and delivery timelines. Mentor junior analysts by reviewing their work, offering guidance, and promoting professional growth. Define and implement standards for documentation, analysis, and data governance across the analytics team. Apply strong data modeling knowledge (star/snowflake schema, normalization, dimensional modeling) to support efficient analysis and reporting. Help build dashboards, scorecards, and visualizations using Tableau, Power BI, or Strategy to communicate insights to stakeholders. Ensure data quality and compliance with internal controls and industry regulations. The Minimum Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related technical field. 8+ years of experience as a Data Analyst 5+ years of experience in Finance domain within the insurance industry 2+ years of experience with Vertica/Teradata or other similar tools for querying, performance optimization, and large-scale data analysis. 2+ years of experience in Python and SQL 2+ years of experience in writing detailed source-to-target mapping documents and collaborate with technical teams on data integration. 2+ years of experience with at least one of the following: Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modeling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements. The Ideal Qualifications Master's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modeling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Proven track record of Analytical and Problem-Solving skills. A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting Strong data analysis skills for extracting insights from financial data Proficiency in data visualization tools and reporting software is also important. Experience integrating financial systems with actuarial, policy administration, and claims platforms. Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements. Experience with General Ledger systems such as SAP and forecasting tools like Anaplan. Exceptional communication and interpersonal skills. Ability to influence and motivate teams without direct authority. Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. #LI-RK1 Salary Range: $144,800.00-$190,000.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

Posted 2 weeks ago

Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate-logo
Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate
PwCMinneapolis, MN
Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities Lead initiatives in data governance and strategy development Develop, implement, and maintain data quality processes to ensure data integrity across the organization. Develop and implement data integration solutions for metadata, data lineage, and data quality. Monitor data quality metrics and perform regular data quality assessments. Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. Collaborate with data owners and stewards to ensure compliance with data quality standards. Guide and mentor team members to uphold exemplary standards Cultivate meaningful client relationships and understand their business needs Drive the execution of data governance projects and roadmaps Support the integration of technology solutions in complex settings Analyze intricate problems to deliver impactful solutions Foster a culture of continuous improvement and learning Maintain adherence to cybersecurity and information security protocols What You Must Have Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming 3 years of experience What Sets You Apart Master's Degree preferred EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred Managing projects with data governance strategy and architecture Leading Data Governance projects and defining strategy Deploying data lineage and data flow inventory solutions Implementing structured data archiving and lifecycle management Understanding data privacy and regulatory aspects Experience with implementation of Batch, and API pipelines. Experience with SQL, DQ tools like collibra, monte carlo, soda, informatica, anomalo, Experience implementing data quality framework and socialization Understanding of data observability frameworks Hands on experience with platform observability tools like datadog, Grafana, Splunk Experience driving incident management initiatives. Good understanding of the stages of incidents Designing conceptual and physical data architecture Utilizing data quality tools for rule development Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

CDO - AI Data Quality Data Scientist-Sr Manager-logo
CDO - AI Data Quality Data Scientist-Sr Manager
PwCDenver, CO
Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

CDO - AI Data Quality Data Scientist-Sr Manager-logo
CDO - AI Data Quality Data Scientist-Sr Manager
PwCSpartanburg, SC
Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Director, Data Scientist & Data Operations-logo
Director, Data Scientist & Data Operations
Eisai USAtlanta, GA
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 2 weeks ago

Data Governance And Master Data Manager-logo
Data Governance And Master Data Manager
Mimedx Group Inc.Marietta, GA
At MIMEDX, our purpose starts with helping humans heal. We are driven by discovering and developing regenerative biologics utilizing human placental tissue to provide breakthrough therapies addressing the unmet medical needs for patients across multiple areas of healthcare. Possessing a strong portfolio of industry leading advanced wound care & surgical products, we are committed to making a transformative impact on the lives of patients we serve globally. Will you join us on this journey? We are excited to add a Data Governance and Master Data Manager to our QOR Team! The position will pay between $105,000-$130,000k based on previous relevant experience, educational credentials, and location. POSITION SUMMARY: The Manager, Data Governance & Master Data will lead efforts to establish, oversee, and enhance data governance and master data management (MDM) practices across the organization. The role ensures data accuracy, integrity, security, and accessibility while aligning with business strategies and compliance requirements. Responsible for gathering data from all stakeholders, define KPI's, integrate data for process improvement and fill the gaps between current vs future data architecture. This position collaborates with cross-functional teams to develop frameworks, policies, and solutions to improve data quality and usability. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop and implement the organization's data governance framework, policies, and standards. Define roles and responsibilities for data stewardship, ownership, and custodianship. Monitor and audit data governance processes to ensure alignment with organizational goals. Provide leadership in resolving data quality issues and establishing data quality metrics and KPIs. Work together with Stakeholders, architects and Engineers from different domains to implement, test and deploy solutions for the Business and manufacturing Master Data domain and Work end to end in their implementation. Gather business requirements across multiple application teams and identify master data contributing to process improvements. Designing, developing, testing, and debugging Master Data solutions that will be used by end users or integrated with other applications. Use modern software development methodologies and programming languages, follow secure coding practices and software legal compliance guidelines, analyze user stories, write both functional and test code, automate build and deployment, and to perform unit integration and end to end testing of applications. Design, develop, and implement MES solutions to improve manufacturing processes and data flow. Configure MES/ERP software to meet specific production requirements, ensuring system scalability and reliability. Maintain, upgrade, and troubleshoot MES applications and related infrastructure. Collaborate with manufacturing teams to ensure the MES/ERP integrates seamlessly with equipment and existing systems. Conduct root cause analysis with appropriate subject matter experts to identify and address root causes to production issues. PROBLEM SOLVING: Problems are difficult and typically undefined where information is difficult to obtain Solutions require analysis and investigation to understand the root cause of the problem Assesses issues thoroughly and solves complex problems quickly; removes roadblocks DECISION MAKING/SCOPE OF AUTHORITY: Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience May recommend/make decisions regarding existing or new programs/initiatives that have a significant impact to business operations/outcomes and carry potential consequences if unsuccessful SPAN OF CONTROL/COMPLEXITY: Acts independently to determine methods and procedures on new or special assignments. May supervise the activities of major projects and/or vendors EDUCATION/EXPERIENCE: Bachelor's Degree in Computer Science, Information Management, Statistics or Engineering and a minimum of 5-8 years' of experience. Strong understanding of 21 CFR Part 11 guidelines, cGxP and GAMP5, IOT practices and IIOT 4.0 strategy. Experience in MES systems like Tulip, POMSnet, Koerber PAS-X, Siemens OpCenter etc. Proficient understanding of data modeling, data quality and data profiling. Experience with architecture, design and development of data integration solutions using MSMQ or HiveMQ etc. SKILLS/COMPETENCIES: Proficiency in MES/ERP platforms (e.g., Siemens SIMATIC IT, Rockwell FactoryTalk, Dassault DELMIA, Wonderware MES, SAP ME). MES systems like POMSnet, Koerber PAS-X, Siemens OpCenter, QAD etc. Proficiency in programming languages (e.g., Python, Java, C#, .NET). Knowledge of scripting languages like JavaScript, SQL, or VBA. data integration solutions using MSMQ or HiveMQ etc. Experience with integration technologies such as OPC UA, REST APIs, SOAP, or middleware tools. Ability to communicate clearly and build relationships within the team and across various levels within the organization Create accountability and sense of urgency for execution and plan attainment. Knowledge of the process to ensure strong problem solving and risk management assessment techniques always ensuring compliance to regulatory guidelines WORK ENVIRONMENT/EXPECTED BUSINESS TRAVEL: The work is typically performed in a normal office environment. Role routinely uses standard office equipment. Minimal travel required

Posted 30+ days ago

CDO - AI Data Quality Data Scientist-Sr Manager-logo
CDO - AI Data Quality Data Scientist-Sr Manager
PwCColumbus, OH
Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Senior Data Engineer, Real World Data-logo
Senior Data Engineer, Real World Data
ProsciaPhiladelphia, PA
This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology's transition from microscope to images, and to use AI to change the way we think about cancer. We can't change medicine alone. That's why we're looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Data Engineer, you will contribute to Proscia's growing Real World Data (RWD) business, which operates as a "startup within a startup." In this entrepreneurial environment, you will help build and scale innovative data solutions that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams while maintaining alignment with broader engineering initiatives. What You'll Do Working at a startup like Proscia means wearing many hats, but when you come to work, you can expect to focus on the following: Develop and refine data pipelines in collaboration with the RWD team and customers, ensuring seamless extraction, transformation, and loading (ETL) of data from customer systems into Proscia's repositories. Work independently to identify and implement process improvements, such as automating manual data migration tasks to accelerate data flows. Design, build, and optimize API integrations, including REST and event-driven/pub-sub architectures, to enable real-time data ingestion, transfer, and quantification. Modify and create Python scripts to allow customers to efficiently upload data, including images, metadata, and other formats. Architect data models, data warehouse design patterns and scalable database solutions to support rapidly growing data while ensuring efficient performance and metadata processing. Collaborate with cross-functional teams, including the core engineering and AI teams, to align technical strategies and ensure seamless integration of RWD solutions with the larger Proscia platform. Operate with a startup mindset, contributing to the RWD team's agility and entrepreneurial spirit while delivering high-impact results. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments and are ready to build the plane while flying it. Our ideal candidate has: 3-5+ years of professional experience with Python scripting for data management. 3+ years of experience with detailed knowledge of data warehouse technical architectures. Strong analytical skills and attention to detail, with a proactive approach to solving problems. Experience with JavaScript and familiarity with modern frameworks (preferred). Proficiency in SQL and/or PostgreSQL. Hands-on experience with REST API development and integrations. Experience in cloud platforms, particularly AWS (preferred). Expertise with Snowflake or similar data warehouse platforms Software engineering principles testing (definition of unit tests, integration tests), setting up CI/CD pipelines and experience with containerization technologies like Docker and orchestration tools like Kubernetes. The ability to work independently within a cross-functional team and coordinate effectively across other engineering teams to design and implement high quality data pipelines. A Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering (Master's degree preferred). Experience working in the life sciences/biopharmaceutical industry is a plus.. Beyond Just Work At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth. Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction. We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

Posted 30+ days ago

Lead Business Consultant, Enterprise Data Management & Data Integration-logo
Lead Business Consultant, Enterprise Data Management & Data Integration
SimCorpNew York, NY
WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US At SimCorp, we facilitate the streamlining of investments, accounting, and operations for major global financial institutions. We do this through IT systems, processes, and financial knowledge. Implementing our software by way of high-quality projects is at the core of what we do. To introduce our software to our clients, business consultants are essential to us. In the role of Lead Business Consultant specializing in Data Management and Data Integration, your participation will be instrumental in the expansion of our market unit and in advancing the outcomes of our clients' projects. You will normally be working full-time on implementation projects, which require your special expertise in Data Management and Data Integration, and you will be responsible for all aspects of the project stream. You will act as an important sparring partner for your clients and effectively monitor, coordinate, and escalate issues as needed. WHAT YOU WILL BE RESPONSIBLE FOR Responsibility for major parts of SimCorp One implementation projects: You know the customer requirements and processes related to Investment Operations at banks, asset managers and insurers and outline solutions for optimal use of SimCorp One Close cooperation with the project manager and key role in developing projects to success Gain understanding of SimCorp's Global Standard Solutions and utilize them for project delivery Key contact for our customers for all questions in connection with SimCorp One Instruct and mentor less experienced colleagues on the job Contribute to improving best practices for implementation processes and promote topics across projects Actively participate in know-how exchange with colleagues on an international level WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to have expertise at several of the following: Previous experience as an Analyst or (Implementation) Consultant for asset managers, asset owners, banks or consulting firms Hands-on experience with SimCorp One / SimCorp Dimension (SCD) Excellent know-how in at least two of the following areas: Enterprise Data Management Data Integration architecture, patterns and standards WS*, REST API, JSON XML, XSLT and other scripting languages like Phyton Relational Databases: Oracle, SQL Server and/or ETL tools C# or any other object-oriented language Testing e.g., Test-Driven Development, agile testing, test automation, test methodologies System performance improvements Continuous integration and delivery (CI/CD) Experience working on software implementation projects in the financial industry. Ability to manage assigned tasks and deliver the results on time Basic understanding of financial industry/products and related workflows Very good communication skills and proficiency in English - both oral and written Ability to travel to client's site BENEFITS An attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. For New York City only: The salary range for this position is $133,000 - $170,000. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave, and retirement plans. Your total compensation may vary based on role, location, department and individual performance. NEXT STEPS Applications are continuously assessed, so please send your CV in English as soon as possible. Please note: Only applications sent through our system will be processed. For those keen on exploring opportunities with SimCorp but questioning the alignment with this position, we welcome you to submit your CV for consideration. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process, we will ask you to provide your feedback, which is highly appreciated . WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients, with SimCorp as the overarching company brand and Axioma as a key product brand. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. SimCorp Canada welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. #Li-Hybrid

Posted 1 week ago

Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate-logo
Info Governance And Privacy - Data Governance & Data Engineering Sr. Associate
PwCLos Angeles, CA
Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities Lead initiatives in data governance and strategy development Develop, implement, and maintain data quality processes to ensure data integrity across the organization. Develop and implement data integration solutions for metadata, data lineage, and data quality. Monitor data quality metrics and perform regular data quality assessments. Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. Collaborate with data owners and stewards to ensure compliance with data quality standards. Guide and mentor team members to uphold exemplary standards Cultivate meaningful client relationships and understand their business needs Drive the execution of data governance projects and roadmaps Support the integration of technology solutions in complex settings Analyze intricate problems to deliver impactful solutions Foster a culture of continuous improvement and learning Maintain adherence to cybersecurity and information security protocols What You Must Have Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming 3 years of experience What Sets You Apart Master's Degree preferred EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred Managing projects with data governance strategy and architecture Leading Data Governance projects and defining strategy Deploying data lineage and data flow inventory solutions Implementing structured data archiving and lifecycle management Understanding data privacy and regulatory aspects Experience with implementation of Batch, and API pipelines. Experience with SQL, DQ tools like collibra, monte carlo, soda, informatica, anomalo, Experience implementing data quality framework and socialization Understanding of data observability frameworks Hands on experience with platform observability tools like datadog, Grafana, Splunk Experience driving incident management initiatives. Good understanding of the stages of incidents Designing conceptual and physical data architecture Utilizing data quality tools for rule development Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 1 week ago

Associate Director, Data Scientist & Data Operations-logo
Associate Director, Data Scientist & Data Operations
Eisai USCambridge, MA
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 1 week ago

Director, Data Scientist & Data Operations-logo
Director, Data Scientist & Data Operations
Eisai USProvidence, RI
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Posted 2 weeks ago

Eisai US logo
Associate Director, Data Scientist & Data Operations
Eisai USTampa, FL
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Job Description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business.

This position may be either office based (hybrid) in Nutley, NJ, or remote based.

Responsibilities

  • Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes.

  • AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools.

  • Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights.

  • Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development.

  • Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes.

  • Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making.

  • Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support.

  • Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions.

  • Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices.

  • Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders.

Qualifications

  • Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred.

  • Extensive expertise in data modeling techniques.

  • Proficient in Python or R, with strong experience in data manipulation and analysis libraries.

  • Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively.

  • Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently.

  • Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.

Eisai Salary Transparency Language:

The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600

Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Right To Work

E-Verify Participation