Top Data Science Jobs in New York City, NY

The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.

The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.

The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.

The Specialist in People Data and Payroll Administration is the first point of contact for employees, leaders, candidates, and retirees. They handle customer service inquiries related to HR policies and procedures, investigate queries, provide administrative support, maintain personnel files, and ensure confidentiality of information. The role involves triaging requests and suggesting improvements for HR processes.

The Scientist in Quality Systems enhances ProBio’s quality systems by ensuring compliance with GMP regulations for clinical and commercial Cell and Gene Therapy products. Responsibilities include quality assurance reviews, supporting investigations and CAPA processes, and collaborating with internal teams to improve GxP compliance.

As a Senior Data Scientist, you will collaborate with product teams to generate insights that enhance growth and engagement. Responsibilities include building dashboards, delivering analyses, designing experiments, and communicating findings to drive product improvements and customer experience.