Top Data & Analytics Jobs

The Principal Data Science role leads AI/ML strategy and delivery for pharma clients, involving advanced modeling and client engagement to drive business growth.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The DSLDP internship program aims to develop skilled individuals in data science, providing exposure to real-world projects, statistical modeling, data integration, and analytical solutions development.

As a Supply Chain Data Science Intern, you'll assist in data analysis, predictive modeling, and developing dashboards to improve operations.

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

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

The Associate Director will manage commercial data acquisition and analytics, support pre-launch analytics, and collaborate with cross-functional teams to deliver strategic insights for product launches in nephrology and immunology.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

The role involves data process improvement, collaborating across teams, developing AI systems, defining data governance, creating management systems, and supporting engineering efforts.

Responsible for building and operating data products for marketing analytics, including designing data pipelines, models, and ensuring data quality and security within a collaborative team.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

The Manager of Data Science leads a team in developing data products and analytics solutions, improving business decision-making and data integrity.

As an intern, assist in backend code maintenance, develop FastAPI endpoints, integrate AWS services, and contribute to unit testing while gaining real-world experience in clinical data science.

Manage analytic teams to develop reports and dashboards for data-driven decision making, overseeing BI solutions and ensuring data integrity.

Lead and inspire a team in sophisticated data analyses, providing strategic insights to improve performance and customer experience while collaborating on AI-driven applications.

The intern will support data center supply chain projects, applying machine learning and optimization techniques to improve inventory management and part allocation.

Collaborate with biomedical investigators on designing, analyzing, and presenting data from research projects and clinical trials while ensuring data quality.

The Data Science Manager role involves managing data analysis, predictive modeling, and providing actionable business insights. The role requires collaboration, ensuring data governance, and leading analytics projects.

The VP of Data Science & Analytics will lead data strategy, build a high-performing team, define KPIs, and drive business outcomes through data insights and collaboration across departments.

As a Data Analyst, you will create dashboards, drive insights for revenue improvement, ensure data quality, and support strategic analyses for leadership.

Manage analytic teams to develop reports and dashboards for data-driven decision making, ensuring data integrity and supporting multiple departments' BI needs.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.