Associate Director, Enterprise Data Science (Staff Data Scientist)

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Associate Director, Enterprise Data Science (Staff Data Scientist) Waltham, MA, United States Position Summary As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities across the enterprise while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. This is a hands-on role where you will develop and implement cutting- edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical foundation in AI ‑ driven operations analytics across the pharmaceutical value chain - including supply chain, manufacturing, quality, EH&S, and business process excellence; inquisitive data science skills; clear and compelling communication skills; an exceptional sense of ownership and accountability; and experience in the pharmaceutical or health ‑ related industry. This role is based in our Waltham location and would work a hybrid weekly office schedule. Key Responsibilities Support and Scale Data Science Use Cases Develop and deploy complex analytical models and insights to inform strategic decisions Implement data science solutions, including but not limited to agentic AI applications and predictive ML models Develop pilot operations planning and optimization use cases using established operations research methodologies, with a focus on validation, impact, and scalable deployment Scale proof-of-concept data science ideas and products into maintainable production software services;

Read the full description at hbap.fa.us1.oraclecloud.com. FewerJobs shows a source-linked preview and links to the original posting.