Top Data & Analytics Jobs

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

The Head of Portfolio Analytics leads a team focused on improving underwriting through data-driven insights, analytics, and pricing strategies. Responsibilities include vision setting, team building, and fostering a data-centric culture across U.S. and Bermuda operations.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The role involves deploying bioinformatics solutions, managing projects, analyzing data, and collaborating with global teams in drug discovery.

Lead the Data Science Platform, building predictive models for drug acquisition, optimizing portfolios, and collaborating with engineering teams for scalable systems.

Lead the development of GenAI solutions, manage client engagements, build a team of consultants, and contribute to practice development in Generative AI.

As a Data Analyst Intern at Centific, you will create and validate data labels for email fraud prevention, analyze quality performance, and collaborate with the data science team in a part-time role for 3 months.

The Executive Director leads enterprise-wide data, analytics, and AI strategy, ensuring initiatives generate business value, enhance decision-making, and drive innovation. The role involves fostering a data-driven culture, developing governance frameworks, and collaborating with C-suite leaders.

The Principal Clinical Data Scientist manages data management deliverables for clinical trials, ensuring high standards in cost, quality, and timelines while providing leadership and ensuring compliance with industry standards.

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

The Senior Manager leads the external data strategy for global credit markets, manages data projects, evaluates new data sources, collaborates with teams, and ensures compliance in data usage.

The Senior Consultant will support organizations in leveraging location intelligence for decision-making in natural resource management and geodesign, while managing complex projects and fostering client relationships.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

The role involves leading data strategies and monetization initiatives, enhancing data literacy, and fostering AI adoption across FWD's business units.

Lead the Global Data Science & Analytics Product Development team, leveraging data science expertise to build market-leading data products and analytic solutions.

Data Scientists will develop and implement data analysis strategies, communicate findings, and extract meaning from large datasets for government missions.

The Senior Director, Data leads data functions, oversees analytics and data strategy, enhances decision-making with AI, and fosters a data-driven culture.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Quantitative Researcher will analyze private credit markets using statistical models, conduct data analysis, and communicate insights to support investment teams.

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