Top Remote Data Science Jobs in Ann Arbor, MI

The Senior Data Scientist will support marketing intelligence products, improve model accuracy, explain statistical concepts, and collaborate with teams to translate customer needs into technical requirements.

The Director of Data Science leads the team to build marketing measurement tools and data products while partnering closely with Engineering and Product teams. Responsibilities include managing technical execution, hiring talent, and establishing validation processes for data models.

Analyze large datasets, build and validate predictive models, implement A/B tests, and communicate insights to stakeholders.

As a Senior Data Scientist, you'll lead analytical projects to drive content decisions, enhance viewer engagement, and optimize personalization strategies through data analysis and A/B testing.

The Machine Learning Researcher assesses healthcare datasets for client needs, ensuring data quality and understanding, while collaborating on data integration.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The Senior Data Scientist will lead a Data team, influence decision-making through data-driven insights, design experiments, and enhance data quality while mentoring team members.

The Data Scientist role involves analyzing complex datasets, improving analytical codebases, and communicating insights to stakeholders. Responsibilities include data exploration, visualization, and supporting machine learning models.

The Data Scientist will analyze complex datasets, build predictive models, and collaborate with multiple teams to drive data-driven solutions that enhance restaurant operations.

As a Data Scientist Intern, you will provide support to various Digital Technology departments, participate in project design and implementation, and improve IT processes.

The Data Scientist will analyze data to drive business decisions, develop Python models, conduct quantitative analyses, and present insights. This role also focuses on collaborating with cross-functional teams and improving lending programs in a fintech environment.