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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

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: $91,000 - $321,500, 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

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

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

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking an experienced Data Operations Engineer to support our Commercial and Medical Affairs team, ensuring that critical data is readily available, reliable, and secure. In this position, you will design and automate robust data pipelines that support data-driven insights and decisions in our emerging oncology biopharmaceutical company. You'll work at the intersection of data engineering and operations, managing cloud infrastructure and upholding data governance standards to maintain data quality and compliance. This role is key to empowering analysts and data scientists with timely, well-governed data - ultimately helping the organization bring life-saving cancer therapies to patients more efficiently. The ideal candidate has experience in DataOps, cloud-based data platforms, and automation, with a strong background in handling data sources such as sales performance, claims, patient data, CRM, and digital marketing metrics. Responsibilities will include: Design, build, and automate ETL/ELT workflows to ingest, transform, and integrate data from multiple sources (sales, marketing, clinical, etc.) into our cloud data platform. Ensure pipelines are scalable, efficient, and minimize downtime through automation and monitoring. Manage and optimize cloud-based data infrastructure (AWS and Azure) for data storage and processing. Oversee the provisioning of resources, scheduling of jobs, and infrastructure-as-code deployments to ensure high availability and performance of data systems. Implement data governance best practices, including data quality checks, validation processes, and metadata management. Maintain data privacy and compliance with industry regulations (e.g., HIPAA, GDPR), ensuring that sensitive data is handled securely and ethically. Develop continuous integration/continuous deployment (CI/CD) pipelines for data workflows and analytics applications. Use modern DevOps tools and containerization (Docker, Kubernetes) to deploy updates to data pipelines, databases, and analytics tools rapidly and reliably. Work closely with data scientists, BI analysts, and business stakeholders to understand data needs and translate them into technical solutions. Ensure data is accessible and well-structured for analytics, machine learning models, and business intelligence dashboards. Set up monitoring, alerting, and logging for data pipelines and databases to proactively identify issues and improve system reliability Troubleshoot and resolve data pipeline failures, data discrepancies, or performance bottlenecks in a timely manner to minimize impact on business operations. Create and maintain clear documentation for data pipelines, infrastructure configurations, and processes. Champion DataOps best practices across teams, mentoring junior engineers and guiding developers in efficient data engineering and operational excellence. Required Skills, Experience and Education: Bachelor's degree (or equivalent experience) in Computer Science, Data Engineering, Information Systems, or related field. 7+ years of hands-on experience in Data Engineering, DevOps, or DataOps roles, with a track record of designing scalable data pipelines and infrastructure Experience in pharma/life sciences. Excellent written and verbal communication skills, able to clearly explain complex data pipelines and infrastructure concepts to both technical colleagues and non-technical stakeholders. Strong team player who partners well with cross-functional teams on requirements and solutions, open to giving and receiving constructive feedback and sharing knowledge. Analytical mindset with a solution-oriented approach, capable of troubleshooting issues across the tech stack (data, code, infrastructure) and driving problems to resolution. Comfortable working in ambiguous environments, defining operating models, processes, roles, and responsibilities while executing and building capabilities and platforms. Self-motivated and accountable, with a high sense of ownership over deliverables. Strong experience with cloud platforms such as AWS or Azure (e.g., S3/ADLS, Lambda/Functions, EC2/VMs, Glue/Data Factory, etc.). Ability to architect and manage data warehouses or lakehouse solutions on the cloud (Databricks preferred). Proficiency in SQL for data querying and manipulation, as well as programming in Python (Pandas, PySpark, or similar data frameworks) for building pipeline logic and automation. Experience with containerization and orchestration tools (Docker and Kubernetes) to deploy data services and ensure reproducible environments. Knowledge of workflow orchestration platforms (Airflow, Airbyte, Fivetran, or similar) for scheduling and managing complex data workflows and integrations. Hands-on experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. Expertise in using infrastructure-as-code (Terraform, CloudFormation) and configuration management (Ansible, Helm) to automate deployments and environment management. Experience with big data processing frameworks (Spark) or streaming platforms (Kafka, Kinesis). Demonstrated ability to implement monitoring/logging (CloudWatch, Datadog, Splunk, or ELK stack) for data systems. Familiarity with version control (Git) and collaborative development workflows. Experience with supporting data science and AI/ML workflows, such as provisioning data for machine learning models or knowledge of MLOps principles. Solid understanding of relational and NoSQL databases (e.g., PostgreSQL, SQL Server, MongoDB) and data modeling concepts. Preferred Skills: Experience with oncology data or commercial/medical affairs pharma data at time of launch. Understanding of industry-specific data sources, terminology, and compliance requirements is a strong plus. Familiarity with regulations and standards such as HIPAA, GDPR, and GxP as they pertain to data handling and software validation in pharma. Ability to optimize data pipelines for analytics tools like R, SAS, or visualization platforms (Tableau, Power BI). Relevant certifications such as AWS Certified Data Analytics or Azure Data Engineer that demonstrate validated expertise. Experience leading data engineering projects or initiatives. Ability to coordinate work among team members, manage project timelines, and engage with stakeholders to gather requirements and report progress. The base salary range for this full-time position is $158,000 to $198,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base salary is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. #LI-Hybrid #LI-YG1

Lead Data Scientist, Data Science Lab (AI Strategy) Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

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.

Salary Range: $9,333.00 -$12,576.46 Monthly SUMMARY Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS) for the County of Los Angeles. HFH was created to support people experiencing homelessness with complex clinical needs. We support people in obtaining housing, improving their health and thriving in their communities. HFH is a core component of Los Angeles County’s effort to respond to the homeless emergency. Where appropriate to the job function, a hybrid work schedule may be available, with employees working both remotely and from the office, as needed. This position offers a unique opportunity to shape the data infrastructure of one of the most impactful homelessness service systems in the nation. The Lead Data Engineer will oversee the foundational architecture for Community Programs’ Databricks-based Lakehouse, supporting seamless integration, governance, and analysis of health, housing, and justice data across initiatives including Housing for Health and others. The role reports to the Director of Data Analytics and Evaluation and will guide efforts across data ingestion, transformation, privacy, and CalAIM claims workflows. This is a chance to architect a scalable data environment from the ground up in a mission-driven context. The engineering team plays a central role in the County’s data strategy, with opportunities for mentorship, innovation, and cross-sector impact. ESSENTIAL FUNCTIONS Lead the development of bronze, silver, and gold data layers from highly normalized data sources, translating complex table relationships into denormalized, analyst-ready structures. Implement GitHub-based CI/CD workflows that manage Dev and Prod separation, parameterized notebook execution, and automated testing. Use Azure Data Factory and related tools to ingest and orchestrate data flows from diverse internal and external sources. Collaborate closely with analytics and privacy engineers to ensure models align with data governance and privacy requirements. Support integration of MDM-linked datasets and promote entity resolution strategies across systems. Monitor pipeline health and lead resolution of data quality issues in coordination with analysts and external partners. Review and approve engineering code as part of CI/CD workflow, unblock or resolve issues holding up promotion to Prod. Define architecture standards and RBAC models in Unity Catalog for Departmental and Countywide access. Mentor engineering team members on best practices and solution design. Produce clear, maintainable documentation and SOPs to support onboarding, data catalog use, and model transparency. JOB QUALIFICATIONS Option I: Two (2) years of experience independently leading complex data engineering projects, including developing and applying methods to collect, structure, and transform data using statistical, programmatic, and engineering techniques to support data-driven decision-making, at a level equivalent to the Los Angeles County class of Data Scientist. Option II: A Bachelor's degree from an accredited college or university in a field such as Data Science, Data Engineering, Computer Science, Statistics, Mathematics, Machine Learning, Business Analytics, Psychology, or Public Health, with at least 12 semester or 18 quarter units in data science, quantitative research methods, programming, or statistical analysis – AND – six (6) years of experience in data engineering, including two (2) years in a lead or supervisory capacity. A Master’s or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan and the Health Clearance process with the County of Los Angeles. Other Skills, Knowledge, and Abilities 7+ years building scalable data pipelines in cloud environments. Advanced proficiency in Databricks (Delta Live Tables, Unity Catalog), Spark, SQL, and Python. Experienced with CI/CD (GitHub, Azure DevOps), infrastructure-as-code (Terraform), and Azure tools (Data Factory, Synapse). Skilled in MDM integration and entity resolution. Familiar with MLflow, experience embedding data expectations within ETL/ELT pipelines, and data observability practices. Strong grasp of Medallion Architecture, performance optimization, and ETL/ELT design. Working knowledge of HIPAA, 42 CFR Part 2, and public-sector data governance. Experience mentoring teams and leading technical standards. PHYSICAL DEMANDS Stand: Frequently Walk: Frequently Sit: Frequently Reach Outward: Occasionally Reach Above Shoulder: Occasionally Climb, Crawl, Kneel, Bend: Occasionally Lift / Carry: Occasionally - Up to 15 lbs. Push/Pull: Occasionally - Up to 15 lbs. See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs./day) Frequently = (2 - 5 hrs./day) Constantly = (5+ hrs./day) WORK ENVIRONMENT General Office Setting, Indoors Temperature Controlled EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

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: $91,000 - $321,500, 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

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: $91,000 - $321,500, 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

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

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

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: $91,000 - $321,500, 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

Job Posting End Date 07-02-2025 Please note the job posting will close on the day before the posting end date Job Summary Join Us in Shaping the Future of Energy with AI at AEP! At American Electric Power, we're on a mission to transform the energy landscape through cutting-edge artificial intelligence and generative AI technologies. We are seeking a visionary Data Scientist to lead our AI strategy, drive innovation, and create value across our organization. If you are passionate about leveraging AI to solve complex challenges and are eager to make a significant impact, this is the opportunity for you! As a Lead Data Scientist focused on AI and GenAI, you will spearhead the development and implementation of advanced AI strategies that align with AEP's mission to deliver reliable and sustainable energy. You will collaborate with cross-functional teams to identify AI-driven opportunities, lead high-impact projects, and mentor a team of talented data scientists and solution engineers. Your work will directly influence the company's strategic direction and drive the next wave of innovation in the energy sector. Job Description What You'll Do: I Strategy and Program Leadership: Lead the design and execution of AI strategies, ensuring alignment with company goals and maintaining roadmaps for tools. Serve as program owner, balancing strategic vision with technical execution. Stakeholder Engagement and Change Management: Engage with stakeholders across AEP to prioritize AI-driven opportunities, fostering strong collaborative relationships. Lead organizational change management, effectively communicating insights and progress. Risk, Ethics, and Compliance: Evaluate and manage risks associated with AI implementation, ensuring adherence to ethical standards and compliance with industry regulations. Technical Guidance and Team Collaboration: Provide technical direction for AI functions, collaborating with an internal team on hands-on work and overseeing external teams. Mentor intermediate and entry-level AI contributors, fostering a culture of continuous learning. Industry Insight and Application: Stay current with industry developments to inform strategic decisions and determine the application of new AI capabilities at AEP. Product Analysis and Optimization: Conduct product analysis for AI solutions, monitoring usage, cost, and model metrics to ensure optimal performance and value delivery. What We're Looking For: Data Scientist Principal (SG9): Education: Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required. Experience: 8 years of experience required. An equivalent combination of education and related experience may be considered. Data Scientist Staff (SG10): Education: Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is require Experience: 10 years of experience required. An equivalent combination of education and related experience may be considered. Nice-to-have: Technical Skills: Proficient in AI technologies, including traditional and generative AI/ML models and cloud platforms such as AWS and Azure Familiar with programming languages such as Python, R, and C#, with the ability to write efficient and scalable code Understanding of data governance, security, and privacy principles to ensure ethical and compliant use of data in AI applications Leadership and Communication: Experience leading technology initiatives, including supervising or guiding team members and coordinating across functional areas Skilled at crafting and delivering presentations to diverse audiences, including large groups and executive leadership Strong interpersonal skills to build and maintain relationships with internal teams and external partners, facilitating successful partnerships and knowledge sharing. Problem Solving: Demonstrated ability to apply strong analytical and critical thinking skills to emerging business challenges Adaptability and flexibility to thrive in dynamic environments, quickly adjusting strategies to meet changing demands and priorities Location: Prefer candidate to live within 50 Miles of Columbus, OH. What you’ll get: Data Scientist Principal (SG9):$112,869 - $146,730 Data Scientist Staff (SG10): $132,562 - $172,333 In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees. Where Putting the Customer First Powers Everything We Do At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you! #AEPCareers #LI-REMOTE Compensation Data Compensation Grade: SP20-009 Compensation Range: $112,869.00-146,730.50 USD The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met. Hear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one. It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.

Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Contribute to creating best practices for the team Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior Provide customized views of large and complex datasets to support data analysis and business decision-making Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance Harden data pipelines and models for production deployment and monitoring of performance over time Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred A passion for driving important decisions using data and data storytelling A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms Demonstrated Python and/or R skills. Spark or PySpark experience is a strong plus Broad and general statistical and mathematical knowledge and skills Excellent analytical and problem solving skills Demonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas Exposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams Exposure to or interest in MLOps a strong plus About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com . This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Wednesday, snacks and occasional meals. Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid

Position: Senior Data Analyst (TRICARE Encounter Data) Location: Falls Church, VA Work Environment: Hybrid Clearance Required: None Status: Contingent Upon Contract Award Knowesis is seeking a Senior Data Analyst to support TRICARE Encounter Data (TED) reporting to the DHA TRICARE Health Plan Directorate, Performance Analysis Transition and Integration Section, by providing technical expertise in data analysis and TRICARE performance data reporting. To be eligible for this position, candidates must possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements. The Job Duties and Responsibilities include but are not limited to the following: Analyze and evaluate data, functional requirements and business processes to facilitate the successful integration, implementation, and maintenance of the purchased care TED systems and business processes. With Government oversight, compile, prepare and distribute the daily Benchmark Cycle Plan to the Solutions Delivery division (SDD.) Run the TED EER reports daily, weekly, monthly and quarterly for both Benchmark and Production environments. Monitor transaction errors from TED EER reports for Benchmark and Production environments. Analyze the cause(s) of TED errors and provide written recommendations to resolve the issues, which include, but are not limited to proper data elements and code values to be used. Produce data extracts/reports using standard tools to verify data quality and usage. Update TED reference tables on a routine and ad hoc basis. Schedule and monitor monthly meetings with the contractors to discuss and resolve TED edit errors. With Government oversight, coordinate the TED system workgroup which includes discussions on the two-way interfaces that process TED and provider records. Provide the workgroup and TED program manager with updates to all issues being tracked that involve TED development resources. Document and monitor all TED system changes. Coordinate release priorities with Health Information Technology’s (HIT) SDD and TED developers As sanctioned by the Government, monitor and participate in discussion/meetings for all disaster recovery tests pertaining to the Purchased Care Contracts. Maintain and modify Business Objects (BO) reports as needed to support the monthly reporting of TRICARE Encounter Data (TED) claims processing performance against DHA claims processing performance standards. Create and maintain monthly TED Performance Reports utilized in the Performance Assessment Tracking tool; this includes: Running TED Monitoring (TM), reports for each TRICARE purchased care contract; Analyzing report data; Verifying and correcting report discrepancies; Updating contractor performance worksheets; Mitigating system/application discrepancies; and Responding to DHA Program Office inquiries. Assist in the generation and issuance of contractor monthly performance reports Research and answer TED-related questions as they pertain to TM report results and when necessary, coordinate responses on behalf of the Government with Government Program Analysts. Attend DHA application/system support change meetings with Government Program Analyst and provide input and clarification of application/system change requirements. Organize and document Government system change requirements for the TM application/system. Required Qualifications: 10 years experience with MHS Mart (M2), EAS IV (MEPRS), and MHS Data Repository (MDR) required. Minimum of 5 years of experience in performance management, preferably within a healthcare or government setting. Proven experience to perform complex data analyses to assist in the development and execution of complex solutions to various challenges in healthcare delivery required. Required Education: Master’s degree in a related field such as Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Mathematics, or Business Administration. Benefits: Health (PPO & HDHP) Paid Time Off Company Paid STD & LTD, and Basic Life Insurance 401k Company Match Paid Time Off Multiple Voluntary Products Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

Support Center If you are a current Adventist HealthCare employee, please click this link to apply through your Workday account. Adventist HealthCare seeks to hire an experienced Data Engineer IV who will embrace our mission to extend God's care through the ministry of physical, mental, and spiritual healing. As a Data Engineer IV you will: Lead the creation and supports the ETL process to facilitate the on-boarding of data into the data warehouse and distribution of data across data stores from wide variety of sources using different ETL tools and technologies. Lead the design and develop the physical and virtual Data warehouse table schemas, database, data marts for new and existent data sources for the business's data warehouse. Lead the development and maintenance of informative and actionable data visualizations and reports for analysis, problem solving, and business solutions that highlights relevant business trends and opportunities for improvement. Lead all service operational tasks including but not limited to database setup, maintenance, configuration, programming, troubleshooting, debugging, testing, fulfilling support requests, resolving incidents, and managing problems. Lead the creation and support of routine and ad hoc data load processes through database refreshes and updates. Optimize data integration platform to provide optimal performance under increasing data volumes. Lead the preparation and maintenance of comprehensive understanding of data warehousing and ETL application lifecycle, technical architecture, data, configuration, and operational support requirements. Maintains detailed charts, diagrams, and flow charts outlining systems, hardware, interfaces, and configurations related to data warehousing, ETL jobs, Data visualization, Data analytics and other similar. Provide expertise in the design and development of best practice for big data stacking, data warehousing, data lake, ETL architecture, data federation, virtualization, data modeling procedures, data visualization, and workflows including technical documents. Lead the analytics support to generate insights in the form of dashboards, metrics, or reports for healthcare solutions including the collection of detail business analytics requirements from stakeholders and the development of standardized functional requirement documents. Lead the preparation of presentations and demonstrates business intelligence solutions to end users. Lead in the training of end users on new reports and dashboards Assist in leading the preparation of documents related to data governance, definitions, key metrics, and sample reports, ensuring alignment and consistency in reporting across the organization and standardized data analytics, visualization, and business intelligence reports. Lead the data Integration and data warehousing application portfolio support in the timely resolution of technology incidents while adhering to SLA prioritization and success measures including 24x7 on call support. Qualifications include: Bachelor's degree in computer science, information technology, or a related field. 7+ years' experience and knowledge of coding languages, including Java, XML, and SQL to extract data from various relational databases, application systems, flat files, XML documents, and load into data warehouses. 7+ years' experience in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW. 7+ years' experience as an ETL developer using. integration tools such as Talend and SSIS. Experience working on cloud-based environment such as AWS or Azure. Experience working with large scale. Data warehouses and related technologies. 7+ years working on building meaningful data analytics, reports, and visualizations in health care environment. Snowflake experience is preferred. Experience in metadata management and related tools. Advanced knowledge of database security, integrity, backup and recovery, and performance monitoring standards. 3 Years Supervisory Experience. Preferred Cloud-Data Warehouse certification or ETL Certification or Data Visualization. Experience with business intelligence software applications such as Tableau visualization, PowerBI, SQL servicer Management studio, IBM Cognos B. Work Schedule: Day Shift Remote Pay Range: $127,850.69 - $191,776.04 If the salary range is listed as $0 or if the position is Per Diem (with a fixed rate), salary discussions will take place during the screening process. Under the Fair Labor Standards Act (FLSA), this position is classified as: United States of America (Exempt) At Adventist HealthCare our job is to care for you. We do this by offering: Work life balance through nonrotating shifts Recognition and rewards for professional expertise Free Employee parking Medical, Prescription, Dental, and Vision coverage for employees and their eligible dependents effective on your date of hire Employer-paid Short & Long-Term Disability, Basic Life Insurance and AD&D, (short-term disability buy-up available) Paid Time Off Employer retirement contribution and match after 1-year of eligible employment with a 3-year vesting period Voluntary benefits include flexible spending accounts, legal plans, and life, pet, auto, home, long term care, and critical illness & accident insurance Subsidized childcare at participating childcare centers Tuition Reimbursement Employee Assistance Program (EAP) support As a faith-based organization, with over a century of caring for the communities in the Maryland area, Adventist HealthCare has earned a reputation for high-quality, compassionate care. Adventist HealthCare was the first and is the largest healthcare provider in Montgomery County. If you want to make a difference in someone's life every day, consider a position with a team of professionals who are doing just that, making a difference. Join the Adventist HealthCare team today, apply now to be considered! COVID-19 Vaccination Adventist HealthCare strongly recommends all applicants to be fully vaccinated for COVID-19 before commencing employment. Applicants may be required to furnish proof of vaccination. Tobacco and Drug Statement Tobacco use is a well-recognized preventable cause of death in the United States and an important public health issue. In order to promote and maintain a healthy work environment, Adventist HealthCare will not hire applicants for employment who either state that they are nicotine users or who test positive for nicotine and drug use. While some jurisdictions, including Maryland, permit the use of marijuana for medical purposes, marijuana continues to be classified as an illegal drug under the federal Controlled Substances Act. As a result, medical marijuana use will not be accepted as a valid explanation for a positive drug test result. Adventist HealthCare will withdraw offers of employment to applicants who test positive for Cotinine (nicotine) and marijuana. Those testing positive are given the opportunity to re-apply in 90 days, if they can truthfully attest that they have not used any nicotine products in the past ninety (90) days and successfully pass follow-up testing. ("Nicotine products" include, but are not limited to: cigarettes, cigars, pipes, chewing tobacco, e-cigarettes, vaping products, hookah, and nicotine replacement products (e.g., nicotine gum, nicotine patches, nicotine lozenges, etc.). Equal Employment Opportunity Adventist HealthCare is an Equal Opportunity/Affirmative Action Employer. We are committed to attracting, engaging, and developing the best people to cultivate our mission-centric culture. Our goal is to have a welcoming, equitable, and safe place to work and grow for all employees, no matter their background. AHC does not discriminate in employment opportunities or practices on the basis of race, ethnicity, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, pregnancy and related medical conditions, protected veteran status, or any other characteristic protected by law. Adventist HealthCare will make reasonable accommodations for applicants with disabilities, in accordance with applicable law. Adventist HealthCare is a religious organization as defined under applicable law; however, it will endeavor to provide reasonable accommodations for applicants' religious beliefs. Applicants who wish to request accommodations for disabilities or religious belief should contact the Support Center HR Office.

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and can optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist , you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com . Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. Target base Salary for this role is $182,250 - $297,640 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here .