Top Data Science Jobs

The Senior AI Research Scientist will conduct research on advanced AI topics, publish findings, develop and refine prototypes, evaluate AI models, monitor trends in Generative AI, and mentor junior researchers. The role involves applying AI methodologies to asset management and other sectors.

The Senior Data Scientist will leverage advanced analytics and machine learning to drive growth and enhance customer experience for Gap Inc's brands. Responsibilities include creating predictive models, guiding audience targeting strategies, and collaborating with various teams to ensure data quality and implement data-driven strategies.

The Senior Data Scientist will lead the development and management of predictive and inferential models to enhance business performance, mentor junior team members, collaborate with stakeholders, and contribute to the enterprise data strategy while employing statistical analysis and machine learning techniques.

The Entry Level Data Scientist will design, develop, and deploy data-driven solutions to improve business operations and product quality. Responsibilities include creating predictive models, analyzing data to optimize processes, and collaborating with stakeholders. The role involves a full modeling cycle including training and validating algorithms, using machine learning and deep learning techniques.

The Scientist I in Quality Control at Sarepta will design and validate cell-based assays for AAV gene therapy products, manage quality events, and support method validation activities, while also authoring technical reports and quality documents.

The Scientist will focus on developing adhesive and primer formulations, collaborating with R&D on projects, conducting tests, maintaining analytical equipment, and managing customer relationships. Responsibilities include formulation preparation, project planning, technical presentations, and documenting research progress.

The postdoc will support machine learning research for decision support, contributing to AI and turbulent flow simulations. Responsibilities include designing AI algorithms, implementing uncertainty quantification methods, and deploying these methods on high-performance computing systems to enhance simulations.