Top Hybrid Data Science Jobs

As a Data Scientist at FanDuel, you'll optimize customer generosity distribution and bonus spending through data analysis, segmentation, and modeling. You'll collaborate on projects, deliver insights, and guide less experienced team members.

The Principal Data Scientist designs and implements machine learning models, conducts R&D in AI/ML, analyzes datasets, and collaborates with teams to enhance products.

The Data Science Manager will lead a team in developing ML models and solutions, collaborating with business and technical stakeholders to enhance data science strategy and execution.

Lead development of data-centric solutions and advanced analytics at Duolingo, collaborating with engineering and product teams. Mentor junior data scientists and advocate for scientific methods in decision-making.

The Staff Data Scientist will design and optimize AI-driven machine learning models for healthcare applications, ensuring data privacy and collaboration with experts.

Lead a team of data scientists to provide data products and insights for improving campaign performance, collaborating with cross-functional stakeholders.

The Data Scientist will analyze in-house and customer data, develop algorithms, create predictive systems, and work closely with clients on data-driven solutions.

The Data Science Intern will analyze large datasets, perform data quality assurance, and collaborate with a multi-disciplinary team to drive business decisions in the energy sector.

The Senior Data Scientist will develop predictive models, analyze large datasets, implement data pipelines, collaborate with cross-functional teams, and contribute to technical innovation and thought leadership in data science.

The Director of Data & Analytics will set the vision for data strategy, lead a team in data practices, and drive AI/ML innovations.