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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 Investment Management. As part of this role, you will lead to extracting value from data by facilitating the creation of high-quality data solutions that drive decision-making and operational efficiency. You'll use your skills to provide subject matter expertise and complete in-depth data analysis, which contributes to the strategic efforts of the team. 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 will lead the charge in extracting value from data by facilitating the creation of high-quality data solutions that drive decision-making and operational efficiency. You'll use your skills to provide subject matter expertise and complete in-depth data analysis, which contributes to the strategic efforts of the team. 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 Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing 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. Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation. Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards. Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals. Manage and oversee investment data, ensuring its accuracy, consistency, and completeness. The Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems or related technical field. 8+ years of experience as a Data Analyst or similar role supporting data analytics projects 5+ years of advanced experience in SQL 5+ years of experience in financial services, insurance, or related industry The Ideal Qualifications Master's degree Experience with data manipulation using Python. Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing. Investment Operations exposure- Critical Data Elements (CDE), data traps and other data recons. Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses. Experience with BI tools like Power BI, MicroStrategy, Tableau. Excellent communication, problem-solving, and stakeholder management skills. Experience in Agile/Scrum and working with cross-functional delivery teams. Proficiency in financial reporting tools (e.g., Power BI, Tableau). Familiarity with regulatory requirements and compliance standards in the investment management industry. Ability to lead cross-functional teams and manage complex projects. Hands-on experience with IBOR's such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion. Experience with cloud data platforms like Snowflake and Databricks. Background in data governance, metadata management, and data lineage frameworks. 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.

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

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: $116,227.90 - $174,341.85 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.

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations. You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management. At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data- Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring Excellent written and verbal communication skills. You are self-motivated and like to take initiative. You are a team player with a positive attitude. You have strong time management skills. "Gauges" of Responsibility Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI, GitHub Actions to ensure rapid, reliable deployments. Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. "Fuel" for You Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. Health + Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead- We offer 401k and a match component! Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service. Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice. The GPS of our Interview Process First thing first, if you're interested in the role, please apply. A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. We conduct in-person and virtual interviews. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000. Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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

Your impact on our mission We are looking for a Staff Data Engineer (SDE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You'll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company. You'll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning-ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers. You'll enjoy this role if you are… Passionate about the inner workings of data platforms and infrastructure Excited to tackle both technical and strategic challenges to build reliable, scalable systems Motivated to create high-leverage tools that power analytics and data science Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions Your day to day is… Designing and maintaining scalable data pipelines for ingestion, transformation, and delivery across multiple data sources Collaborating with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability Developing and managing modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg Optimizing Snowflake usage and performance, ensuring data quality and cost efficiency Supporting and scaling orchestration platforms (like Dagster), metadata systems (like Unity Catalog or Collibra), and monitoring tools (like Datadog) Collaborating with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows Building tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack You'll be successful in this role if you have… 5+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization Deep experience with data warehouse technologies like Snowflake, including clustering, performance tuning, query profiling, and access management Experience with data lake and lakehouse architectures such as Databricks, Delta Lake, Iceberg, or Apache Hudi, and query engines like Athena or Presto Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing Familiarity with managing infrastructure-as-code, job orchestration (Dagster, Airflow), and CI/CD workflows A proactive mindset and strong problem-solving skills, especially when troubleshooting complex infrastructure issues Excellent collaboration and communication skills to support cross-functional teams and data consumers Bonus if you have… Experience implementing row-level security and data masking for PHI/PII use cases Exposure to governance tools (e.g., Collibra, Amplitude, Looker admin, Unity Catalog) Familiarity with AWS services, especially for storage and compute cost optimization Benefits: Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness programs with Headspace and Peloton Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch everyday along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Role WEX is transforming its enterprise data architecture to unlock trusted, scalable, and AI-ready data across all business domains. As part of this journey, we are hiring a Director of Engineering to lead the design, delivery, and governance of our unified ingestion framework-serving as the foundation of our Data-as-a-Service (DaaS) platform. This leader will be responsible for building and operating the platform layer that connects hundreds of data sources across internal systems and external partners into WEX's enterprise data ecosystem. You will lead a talented team of software engineers and collaborate closely with domain-aligned teams to standardize ingestion, streamline onboarding, and scale data operations with governance and observability built in. What You'll Do Own and scale WEX's enterprise data ingestion platform, ensuring reliability, reusability, and consistency across domains. Lead the unification of disparate ingestion pipelines into a governed, modular framework that accelerates data onboarding and reduces duplication. Drive the design and adoption of modern, scalable ingestion patterns-including event-driven, micro-batch, and streaming architectures-by applying strong software engineering principles such as modularity, reusability, and testability across the data acquisition lifecycle. Implement DataOps practices including pipeline observability, error handling, lineage tracking, validation, and secure data onboarding. Partner with stakeholders across product, engineering, and business teams to identify and prioritize high-value ingestion initiatives. Mentor and grow a high-performing team of data engineers, fostering a culture of ownership, scalability, and operational excellence What You Bring 10+ years of experience in scalable software and data engineering practice, with at least 3 years in a leadership or director-level role overseeing platform or ingestion teams in a mid-to-large enterprise. Proven track record of designing and scaling data acquisition systems that process high-volume, high-variety data from both internal systems and third-party sources. Experience architecting modular, metadata-driven ingestion frameworks capable of supporting hundreds of pipelines across business domains with varying data latencies (batch, micro-batch, streaming). Deep understanding of data ingestion patterns at scale, including change data capture (CDC), event-driven pipelines, file-based ingestion , API ingestion, and schema evolution. Experience leading teams that manage mission-critical pipelines with strong SLAs for data freshness, reliability, and security. Deep understanding of distributed data processing architectures, including orchestration, streaming, and table format abstraction-such as workflow scheduling, event-driven pipelines, and versioned data lakes. Demonstrated ability to implement DataOps principles, including observability, lineage, validation, access control, and audit logging. Strong cross-functional leadership skills, capable of aligning engineering, data, and business stakeholders around shared outcomes and delivery plans. A systems-thinking mindset with a passion for building platforms that are robust, extensible, and designed for reuse at scale. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $188,000.00 - $250,000.00

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

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

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 Thursdays, 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

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: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. This is not the official job application; this posting is specifically for Equinix Pathways Military Program. Please note that this program is exclusively for Military Spouse Fellows or Active-duty US military personnel transitioning out of the military to civilian workforce. Equinix is the world's digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed. We are a fast-growing global company with 70+ consecutive quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of nearly 10,000 companies, including 1,800+ networks and 2,900+ cloud and IT service providers in over 26 countries spanning five continents. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities. The training will be on the cutting-edge of technology in a digital infrastructure environment supporting an initiative designed to link our nation's warfighters to the best employment opportunities available. Do you have a background in Electronics, Electrician, or HVAC and skilled Mechanical trades? This could be your next career move! In this DoD Skillbridge Program with Equinix, you will: Learn how your military experience translates into a rewarding civilian career Explore a career or industry you might want to pursue upon separation from active duty Earn real-world industry qualifications and certifications Build experience and competency in your trade/ profession with our team Expand your professional network of contacts Gain familiarity with corporate culture. Responsibilities Has a substantial understanding of the job while working on assignments that are moderately difficult requiring judgement in resolving issues or making recommendations. Focus is on moderately difficult tasks, using substantial understanding of standard operating procedure. Supports the overall team. Facility / Infrastructure Maintenance Performs moderately difficult preventative and corrective maintenance checks on-site to facility components. You will perform site inspections and monitor the building and IBX alarms Performs moderately difficult repairs, maintenance, installations, and on-site inspections to facility systems. Supports energy efficiency measures Monitors the Building Monitoring System (BMS) and resolves moderately difficult alarm issues that require judgement in resolving while following standard operating procedures Operates and maintains plumbing, fire suppression, and safety systems Operates critical infrastructures under the supervision of more senior technical staff Normally receives little instruction on daily work, general instructions on newly introduced assignments Customer Operations Technician Queue Management & Reporting Prioritize and manage service requests to meet deadlines Maintain detailed records and audit reports Installations Rack and stack equipment in data centers Perform fiber terminations using a fusion splicer Set up telecom cabinets, fiber trays, and cage wiring. Troubleshoot fiber and copper circuits Support standard cross-connect work orders Other troubleshooting procedures Site Administration & Incident Support Performs moderately difficult site logs for permits, such as Maintenance Operation Protocol (MOPs) and scripts Identifies Single Points of Failure (SPOFs) and makes recommendations Responds to all moderately difficult on-site incidents, including failures, problems and delays Uses substantial understanding in following operating procedures to support on-site administration Work Orders & Additional Projects Completes routine work requests and circuit installations Troubleshoots and maintains office equipment (if necessary); supports auxiliary equipment and machines with problem-solving and repairs to avoid/minimize downtime Makes minor changes to mechanical, electrical, and specialized systems, as directed Carries out infrastructure projects Collaboration Collaborates with others to resolve moderately difficult facility incidents Effectively collaborates within the department; may mentor team members on general maintenance activities Provides stakeholders of inventory needs in order to maintain optimal stock levels of critical parts and equipment May recommend infrastructure projects Qualifications Must meet all eligibility requirements outlined in DOD Instruction 1322.29 and NAVADMIN 222/15. Required Technical associates degree, military-technical school, or civilian technical trade school completion Education level: Working on bachelor's degree or relevant experience with 1-4 years in Mechanical Engineering or related field. Comprehensive knowledge of critical infrastructure i.e., UPS, generator, BMS, chillers, life safety systems Coursework in HVAC design or heat transfer and thermodynamics Knowledge of HVAC testing and balancing methodologies Knowledge of IT hardware and other data center operations functions Good time management habits, ability to multi-task, to sustain focus on long tasks. Ability to communicate thoughts and technical ideas. Attitude of taking initiative, enthusiasm, eagerness to learn, teamwork, creativity. Ability to lift 50 lbs The ability to prioritize effectively, balance assigned work and exceptional organization skills required for our constantly evolving environments. Strong interpersonal and communication skills essential for team-based work assignments. Presentation skills with colleagues and clients of all levels Skillbridge Internship positions are open to active duty and/or transitioning military members. Compensation or pay for this role is made through the service member's current enlistment contract based on pay guidelines set by the Department of Defense (DoD) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. Equinix is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. (Equal Opportunity / AA / Disabled / Veterans Employer) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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

Overview Susquehanna International Group is seeking a Data Quality Assurance Analyst for our Market Data team. This team develops front office market data frameworks, applications, and tools which we use across our organization to make market decisions. In this role, you will: Provide quality assurance for Market Data's software components and applications that are highly distributed, business critical systems. Define, develop, and automate QA pipelines and tools Collaborate with developers, traders, quants to define requirements Be involved with planning, documentation, and development of data pipelines focused on improving data quality and system performance Manage and maintain the test environments and automation What you can expect from us: Real Impact: You'll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability. You'll see how your contributions towards developing and supporting leading-edge hardware and software solutions make a firm-wide impact that makes us all smarter, faster, and better. Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions. Growth: For many of our roles, we don't expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We're looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow. Benefits: Susquehanna offers a wide array of competitive employee perks & benefits. What we're looking for 2+ years of experience in data validation, quality assurance, testing, or similar roles Python and Bash scripting experience NumPy or Pandas or similar experience Strong background in statistical analysis is required Understanding of financial markets Additional experience in SQL, HTCondor, R or similar technologies is a plus Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline or equivalent About SusquehannaSusquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together. What we doWe are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-KD1 #LI-Hybrid

Rejoignez-nous en tant que Senior Data Scientist ! La direction opérationnelle Digital & Innovation (D&I) conçoit, déploie et exploite tous les systèmes d'information et solutions digitales nécessaires à l'ensemble des activités du Groupe (conception de l'offre de transport, planification des personnels et des trains, sûreté du parc, maintenance, expérience et information voyageurs…) au service des clients et des voyageurs. L'émergence massive de besoins autour de la donnée amène le groupe RATP à se transformer. Sous l'égide de la Chief Data Officer (CDO), l'unité Data de la direction D&I a pour mission de définir la stratégie data du Groupe et de soutenir sa mise en œuvre au sein des départements métier et filiales. Cette mission se caractérise par le développement d'une offre de service à l'échelle du Groupe, l'émergence et la coordination d'un portefeuille de cas d'usage à forte valeur, ainsi que l'accompagnement des métiers dans leur montée en maturité (acculturation, formation, animation de communautés data transverses…). Au sein de l'unité Data, le Centre d'Expertise Data (CE Data) a pour mission de créer de la valeur grâce à la donnée, en alignement avec les enjeux stratégiques et la gouvernance de la CDO. Au service des métiers et des équipes digitales, il contribue à l'instruction et à la réalisation des cas d'usage de data science, et apporte ses compétences en analyse de données pour fournir des insights dans le processus de prise de décision au sein du groupe. Poste et Missions Quel sera votre quotidien ? Votre principal rôle sera de : Participer à l'identification, la qualification et la priorisation de cas d'usage de data science à forte valeur métier ; Assurer, sous la supervision d'un Lead Data Scientist, la réalisation scientifique et technique des projets de data science, en se conformant au modèle de delivery et aux standards de développement promus par le CE Data Accompagner le déploiement des projets sur les infrastructures de production (support du build et du run) et leur intégration dans les processus métier concernés Assurer l'interface avec l'ensemble des parties prenantes (métiers et techniques) et contribuer à l'animation des réunions projet : kick-offs, revues de sprint, comités de pilotage, etc. Valoriser les travaux au sein et à l'extérieur du groupe par le biais de communications et de démonstrations Vous contribuerez également aux activités transverses du CE Data : missions d'expertise diverses, création de contenus de formation et d'acculturation, développement de l'offre du CE Data, participation à l'animation de la communauté data science du groupe, etc. Pour en savoir plus, cliquez sur le lien suivant : https://www.ratp.fr/groupe-ratp Profil recherché Profil recherché Vous êtes diplômé d'un BAC+5 en Data Science (ou équivalent) et avez acquis au moins 5 ans d'expérience dans ce domaine. Pour relever ces défis, nous recherchons une personne disposant d'un bagage scientifique et technique solide : Compétences avancées en mathématiques, statistiques et intelligence artificielle Compétences dans le recueil, le traitement et l'analyse de données afin de répondre à des besoins métier spécifiques Compétences dans le développement et le déploiement de modèles d'apprentissage automatique dans un contexte industriel Connaissance de Python et, idéalement, de PySpark, SQL et Git Vous vous reconnaissez ? N'hésitez pas à postuler directement en ligne ! Tous nos métiers sont ouverts aux personnes en situation de handicap. Informations complémentaires Type de contrat : CDI Localisation : Maison de le RATP - Paris 12ème Télétravail : Oui Principaux avantages de l'entreprise Évolution de carrière vers d'autres métiers y compris en filiales internationales 9 semaines de congés, soit 206 jours travaillés par an Informations complémentaires Région :Ile de France Type de contrat : Durée Indéterminée

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

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.

Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise. Who we are: Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience. Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach. Want to work with us? Have questions? Learn more below. About the Role As a Member of Technical Staff on our Data Platform team, you will be instrumental in creating innovative data tools that transform raw inputs into high-quality datasets for ML training and labeling. Your work will focus on designing and building robust pipelines for data transformation, filtering, analysis, and cleaning. We are looking for data engineers who deeply understand ML and are passionate about developing next-generation tools that empower our data curation processes at scale. This is a good role for you if you: Have extensive experience working in ML environments, with a keen understanding of how high-quality data drives model performance. Are skilled at designing and implementing data tools that streamline the process of dataset creation, data annotation, and labeling. Possess a strong background in building systems for efficient data transformation, filtering, analysis, and cleaning. Thrive in innovative, fast-paced settings where you can directly impact the quality and reliability of training data for cutting-edge AI applications. Responsibilities include: Designing, building, and maintaining state-of-the-art data tools that convert raw data into high-quality datasets for ML training and labeling. Developing robust workflows and pipelines for data transformation, filtering, analysis, and cleaning that enhance dataset quality. Collaborating with ML researchers, data scientists, and engineers to ensure our data tools meet the rigorous standards required for enterprise-grade AI. Continuously evaluating and integrating emerging technologies to keep our data curation processes at the forefront of innovation. Driving the evolution of our data platform to support scalable, efficient, and effective data annotation and labeling pipelines. Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. Interview Process Apply: Please apply on Linkedin or our website for a specific role. After speaking with one of our recruiters, you'll enter our structured interview process, which includes the following stages: Hiring Manager Conversation- An initial discussion with the hiring manager to assess fit and alignment. Technical Interview- A deep dive with an Inflection Engineer to evaluate your technical expertise. Onsite Interview- A comprehensive assessment, including: A domain-specific interview A system design interview A final conversation with the hiring manager Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation. For non-technical roles, be prepared for a role-specific interview, such as a portfolio review. Decision Timeline We aim to provide feedback within one week of your final interview.