Top Senior Level Data Science Jobs

The Senior Data Scientist will enhance the Air Force's Enterprise Risk Management initiative using advanced analytics and AI to identify and mitigate risks. Responsibilities include building data pipelines, developing predictive models, conducting risk analyses, and providing insights for strategic decisions, all while ensuring data accuracy and collaborating with stakeholders.

As a Senior Scientist II, you will manage and mentor a team in protein purification and characterization, focusing on developing production workflows and QC for in-vivo grade products. You'll be responsible for assessing manufacturability risks and bridging lead molecules from R&D to Tech Ops. Additionally, you'll develop innovative strategies and monitor team growth while contributing to program refinement and budget considerations.

The Associate Scientist will work in a laboratory setting to optimize large molecule therapeutics through biophysical, biochemical, and functional assays. Responsibilities include the engineering of antibody binding domains, evaluating binding properties of biologics, and collaborating with cross-functional teams to develop novel biologics for clinical use.

The Senior Software Engineer will work on developing and maintaining shared services for PlayOn's Data Science team, focusing on cloud-native software solutions and collaborating with multifunctional teams to enhance consumer engagement through data-driven features.

The Principal Data Scientist will lead and mentor the Data Science team, focusing on data analysis to uncover insights, enhance customer experiences, and optimize business strategies. Responsibilities include developing models, conducting statistical analyses, and collaborating closely with technical teams to drive project success and innovation in data utilization.

As a Senior Data Scientist, you will leverage your expertise in machine learning and statistical analysis to develop algorithms and models that optimize marketing campaigns and improve customer loyalty. You will collaborate with cross-functional teams to design and implement data-driven solutions, analyze large datasets, conduct A/B testing, and mentor junior team members.

The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.