Top Data Science Jobs

The Data Scientist Manager will oversee analytical solutions involving predictive modeling and data management, ensuring effective collaboration, campaign execution, and adherence to data governance standards while driving business insights.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The Data Scientist will lead the development of data products that enable AI-driven insights, ensuring compliance and optimizing processes across CMC workflows.

The role involves developing predictive models, applying data science techniques, and collaborating with teams to optimize client outcomes and insights using Visa's data.

The Sr Staff Data Scientist will lead ML and AI projects, influencing product quality through advanced analytics and mentoring team members.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

As a Data Scientist Intern, you'll analyze large datasets to enhance user experiences, develop ML models, and design A/B tests while collaborating across teams.

Design and develop methods for analyzing big data to generate insights for healthcare applications, using statistical methods and machine learning. Collaborate across teams to improve predictive modeling and data utility.

The role involves analyzing ground combat mobility systems, developing Python tools for geospatial analysis, and producing reports for intelligence assessments.

As a Bioinformatics Software Engineer, you will develop and improve bioinformatics pipelines for single-cell data, collaborating with teams and enhancing software solutions to streamline data analysis.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

As a Data Scientist on the Rider Engagement team, you will develop mathematical models, collaborate cross-functionally, and analyze data to optimize pricing and engagement systems.

As a Data Scientist, you will lead complex analyses, develop expertise in marketing mix modeling, coach teams, and contribute to software code and automation in ML workflows.

The Senior Data Scientist will lead analytic engagements, develop predictive models, and collaborate with teams to enhance client solutions in financial services.

The Data Scientist III role involves driving the analytics roadmap, performing statistical analysis, machine learning model development, and collaborating with cross-functional teams for marketing and product solutions.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

Data Scientist III leads financial crime modeling initiatives, utilizing advanced analytics to enhance AML/CTF solutions while collaborating with cross-functional teams.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

The Credit Strategy Lead will analyze data to propose credit risk strategies for lending products, collaborate with teams to drive revenue, and develop innovative risk management approaches.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

As a Senior Data Scientist, you will develop technologies for signals exploitation and system resource management, conduct data analysis, and collaborate on multi-disciplinary teams.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

The role involves analyzing multi-factorial data for safety profiling of drug candidates, developing computational tools, and collaborating across teams to enhance drug development processes.