Top Senior Level Data Science Jobs in Atlanta, GA

The Senior Scientist in Quantum Applications Chemistry will develop quantum chemistry algorithms, collaborate on hybrid quantum workflows, and engage with clients to solve complex problems using IonQ's quantum computers. This role requires strong expertise in computational chemistry and programming, as well as the ability to communicate technical concepts effectively.

As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.

As a Senior Data Scientist, you will analyze healthcare data, develop data-driven solutions, and support product teams. Your role includes defining project requirements, performing data exploration, and creating analytic deliverables that drive business decisions. You will collaborate with cross-functional teams to analyze various data sources and visualize findings to propose actionable strategies.

The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.

As a Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.