Top Senior Level Data Science Jobs

The Senior Data Scientist will focus on Pricing Optimization Analytics, conducting extensive data analysis to drive financial benefits and evaluate pricing strategies. This includes performing various analytics like causal inference and sensitivity analysis, aimed at improving decision-making within PayPal's monetization framework.

The Data Scientist will drive analytics and strategic insights for eBay's Hardgoods category. Responsibilities include developing product health metrics, conducting A/B tests, and creating monitoring tools for insights. The role involves collaboration with product managers, business owners, and engineering teams to enhance product features and customer experiences using large datasets.

As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.

The Data Scientist III will develop and implement advanced AI/ML algorithms for semiconductor equipment and process development. Responsibilities include collaborating with engineers to understand process needs, creating usable code following best practices, and driving product capabilities through statistical methodologies and machine learning frameworks.

The Digital Data Records Retention Specialist Lead will develop, implement, and maintain the digital data records retention strategy, ensuring compliance with legal and regulatory obligations. Responsibilities include analyzing data types, collaborating with teams for policy development, conducting audits, and maintaining records, while serving as a subject matter expert on data retention practices.

Research and test new optical technologies for wafer inspection implementations, conceive new concepts based on solid physics understanding, validate concepts through modeling and experiments, design and conduct experiments, work with engineering teams to implement new technologies.

As a Senior Data Scientist at BEES, you will develop and implement machine learning and deep learning algorithms to solve complex business problems, utilizing cloud platforms for data processing, and collaborating with cross-functional teams to deliver high-quality solutions.