Top Data & Analytics Jobs

The Senior Actuarial Assistant analyzes data using actuarial techniques, collaborates on product strategies, and communicates insights to inform business decisions.

Lead the development of data science solutions and mentor a team. Drive innovative projects and prepare insights for stakeholders while managing enterprise-level data science initiatives.

As a Quant Researcher, you'll drive innovation in fixed income pricing, analyze market activity, enhance research models, and collaborate on data-driven solutions.

Lead the Retail Fraud Strategy and Analytics team at Capital One, managing analytics and strategy to combat fraud while driving business growth. Engage in product development, marketing, and credit risk analysis while mentoring analysts and collaborating across departments.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

As a Data Scientist, you will develop analytical solutions, engage stakeholders, and deploy machine learning applications, influencing business processes.

The Managing Actuary will lead a team in developing telematics solutions, manage projects, and provide insurance insights, influencing business decisions.

Lead and develop a team of data scientists to create data-driven models that drive product and operational efficiencies while collaborating with cross-functional teams.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Manage pricing strategy for fantasy sports markets, lead a team, develop pricing models, collaborate cross-functionally, and ensure data integrity.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

The Manager, Data Science will lead a team to build machine learning models, leveraging various technologies to derive insights from large volumes of data while partnering across teams to achieve business goals.

This role leads advanced analytics initiatives using machine learning and statistical techniques to solve business problems and optimize performance metrics.

As a Data Scientist, you will build machine learning models and work with a cross-functional team to deliver impactful data-driven products.

Lead a cross-functional team to assess model risks, build machine learning models, and influence decision-making using advanced statistical techniques.

The role involves managing a team of data analysts, utilizing data for client campaigns, and overseeing predictive analytics projects to enhance marketing performance.

As an AI Data Science Intern, you will support data science teams, engaging in data modeling, statistical analysis, and machine learning projects, while focusing on personal growth and development in a dynamic environment.

As a Senior Data Scientist for Sports Modeling, you will develop and implement statistical and machine learning models, work with data assets, and ensure integration into applications while collaborating with teams across the organization.

The Data Science Manager will lead a team, develop strategies for data and analytics, work with stakeholders, create models, and drive business improvements through data insights.

The Director oversees the Analytical Workbench, drives data-driven decision-making, and collaborates with stakeholders to enhance analytics solutions.

The Director of Data & Analytics leads strategy for data and analytics, implementing AI solutions, managing teams, and ensuring data quality and governance.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

Lead a team of data scientists to analyze auction dynamics in ads marketplace, leveraging data to inform product strategy and execution.

Lead a data science team focused on advertising growth, providing actionable insights, managing projects, and mentoring staff while collaborating cross-functionally to drive business value.