Principal Product Manager, Data Science

Norstella is a company that unites market-leading organizations to improve patient access. They are seeking a Principal Product Manager for their Data Science team to collaborate with product leadership, prioritize projects, and lead marketing activities, all while leveraging advances in AI and data science to drive innovation and informed decision-making.

Responsibilities:

• Collaborate with product leadership to identity, elaborate and prioritize projects
• Partner with business-product managers to explore new opportunities to build customer facing capabilities with AI and build and maintain the data science project pipeline
• Help define requirements and success metrics for identified projects and collaborate with data scientists and engineers to deliver on the commitments
• Lead marketing activities for the data science team, facilitate ideation sessions to help the entire product organization innovate, and introduce processes that promote transparent prioritization, data-driven decision making, and reuse of our platforms and capabilities across the company
• Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
• Serve as the company-wide expert in one or more complex technical areas and its business applications (e.g., entity mastering, knowledge graphs, search optimization, RAG)
• All other duties, as assigned

Requirements:

• 6+ years of experience applying AI / ML to business applications and delivering data driven solutions
• Proven track record of innovating on behalf of the customer in close collaboration with business teams and delivering revenue generating products into production
• Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
• Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
• Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
• Experience with delivering large-scale distributed systems in an agile environment and the ability to build quick prototypes
• Experience leading a portfolio of complex data science projects and mentoring junior team members
• Excellent problem solving and communication skills
• Knowledge of the healthcare domain and experience with applying AI to healthcare data
• Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
• Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs