Top Data & Analytics Jobs

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 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.

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.

Responsible for leading a team in advanced data analytics, creating automated reports, and providing insights to senior leaders, while ensuring data accuracy and documentation.

The role involves developing insights using SQL and Power BI, performing analytics tasks, and assisting the Business Analytics team with various projects.

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

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.

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.

As Director of Data and Science, lead healthcare analytics strategies using epidemiology and biostatistics to enhance patient care and innovation. Manage a team and collaborate with life science partners to design studies that reveal insights for improved health outcomes.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

As a Statistics and Data Science Intern, you'll evaluate manufacturing processes, implement statistical methods, derive insights from data, and present findings.

The Associate Director, Data Science will analyze big data and apply advanced statistics and machine learning for audience strategy and performance optimization. This role includes technical excellence, solutions design, product innovation, and leadership, requiring analytics expertise and strong communication.

The Business Intelligence & Analytics Manager will enhance BI capabilities, create analytics pipelines, mentor teams, and collaborate to optimize data-driven decision-making across R2Net.

The Data Science Manager will oversee data science solutions, manage a data scientist, implement predictive models, and ensure data security.

The VP of Data Science will lead Read AI's technical foundation in AI and ML, overseeing a team focused on building and scaling AI models and infrastructure.

The Senior Manager of Data Science will lead a team to develop AI systems utilizing LLMs and RAG architectures for legal applications, oversee technical execution, and drive strategy in AI-driven legal technology, while mentoring team members and collaborating with cross-functional teams.