Top Data & Analytics Jobs

The role involves supporting HR Analytics, embedding insights into decision-making, collaborating across teams, and delivering data-driven outcomes for talent and workforce decisions.

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.

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

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

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.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

The Principal Consultant will lead data-driven consulting projects in the Technology, Media, and Entertainment sector, develop analytics frameworks, manage client relationships, and provide high-end analytics solutions to enhance marketing effectiveness and business strategies.

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.

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.

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 Director of Commercial Analytics will lead a team, driving data-driven decision making, managing analytics, and contributing to business growth strategies in Abbott Nutrition.

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.