Top Senior Level Data Science Jobs in Rochester, NY

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.

The Senior Scientist in Analytical Development oversees analytical method development and GMP activities for small molecules, peptides, and biological products. Responsibilities include managing CROs, authoring analytical documents, defining stability studies, and contributing to regulatory filings while collaborating with internal and external teams.

The Manager of Marketing Data Science will utilize predictive modeling and advanced analytics to optimize customer marketing strategies, enhance data-driven decision-making, and support direct-to-consumer products at Dow Jones. Responsibilities include building predictive models, media spend forecasting, and collaborating with cross-functional teams to derive actionable insights that improve marketing effectiveness.

The PET Scientist will collaborate with neuro-radiologists and engineers on clinical trial imaging, lead deployment of advanced imaging techniques, support image data processing, ensure compliance with SOPs, and contribute to departmental standards and training programs.

Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.