Top Data & Analytics Jobs

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The role involves time-series forecasting, data analysis, enhancing forecasting processes, and consulting with stakeholders to optimize resource planning.

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

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

As a Data Science Platform Engineer, you will enhance predictive models, develop tools for real-time predictions, expand NLP capabilities, and ensure production system performance within a collaborative team.

Lead a data science team, manage analytics strategies, collaborate with stakeholders, conduct complex data analyses, and drive business performance.

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

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

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.

As a Data Science Intern, you'll frame business problems, analyze data, run experiments, and support teams to optimize operations and improve products.

Participants will engage in learning opportunities, develop professional skills in financial services, and present a project to senior stakeholders.

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Data Scientist will develop strategies for data analysis, model implementation, and communicate findings effectively while ensuring compliance with security clearance requirements.

The Data Scientist will extract insights from large datasets, develop analytic models, and communicate findings to non-technical audiences for federal government projects.

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

Lead the Actuarial and Analytics team for Business Insurance CMP line, focusing on strategy, operational execution, and talent management. Drive innovation and collaboration among various departments.

Responsible for analyzing market data, delivering insights on server market trends, managing Total Addressable Market processes, and collaborating with teams to guide strategic business decisions.

The Director of Integrated Insights and Analytics will lead processes for insights gathering and dissemination, focusing on strategic decision-making in the pharmaceutical industry.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

The Consultant will assess, prioritize, and model demand across the organization, working with stakeholders to ensure effective decision-making and delivery outcomes, requiring strong analytical and financial skills.

The Senior Manager of Data Science & Analytics in Hematology develops insights using advanced analytics, manages data assets, collaborates across teams, and supports commercial strategies for product performance and market effectiveness.

Analyze data to identify investment opportunities and support due diligence. Collaborate across teams to implement insights for investment decisions.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Interns will engage in flexible paid projects across various disciplines including software engineering, AI/ML, UX/UI, and more, tailored to skills.

The Director of Attribution will leverage data science to analyze marketing effectiveness, manage teams, oversee data projects, and drive innovation.