Sr. Data Scientist

Role: Senior Data Scientist focused on designing and deploying scalable data products, dashboards, and analytical models to optimize supply chain, manufacturing, and operational decision-making within a regulated biopharma environment. Responsibilities include developing data pipelines using Python, SQL, and cloud platforms; creating visual analytics for supply performance, inventory, and risk monitoring; applying statistical and machine learning methods for insights and scenario analysis; collaborating with stakeholders across external supply, manufacturing, quality, finance, and IT to translate business needs into data solutions; automating reports, supporting data governance, and ensuring data quality and documentation. Requirements: Doctorate or Master’s with 2+ years, Bachelor’s with 4+ years, or equivalent experience in data science. Preferred skills include expertise in Python, SQL, cloud data platforms (AWS, Azure, Databricks), data engineering, dashboard development (Power BI, Tableau), and experience in pharmaceutical or regulated manufacturing settings. High-value specifics: focus on supply chain, external manufacturing, GMP operations, and enterprise systems like SAP, LIMS, or Veeva. Cross-functional collaboration and stakeholder engagement are key. Work setup and travel details are not specified.