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Tier-1 employer, metro location, popular Data Scientist title, and broad full-stack plus analytics skillset increase applicant density.
Role blends general data science skills with supply-chain and pharma domain knowledge, limiting cross-industry portability.
Multiple mandatory technical skills and domain analytics requirements make screening rigorous.
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Develop and deliver user-facing analytics applications, decision-support tools, and visual analytics for clinical and commercial supply chain processes.
Translate business concepts into interactive prototypes and practical tools to enhance supply chain visibility and decision-making.
Take technical ownership of product modules, ensure scalable solutions, and collaborate cross-functionally for Agile delivery.
Experience developing analytics applications using technologies like React, JavaScript/TypeScript, Python, SQL, and dashboard tools (Power BI, Tableau, Posit/Shiny, Plotly Dash, Streamlit).
Hands-on experience with cloud services and cloud architecture design principles.
Experience applying analytics or data science to supply chain use cases with understanding of supply chain management.
Work Experience Required: Not explicitly mentioned in the JD.
Versatile technical data scientist capable of both front-end and back-end development for analytics applications.
Experience working in Agile environments and collaborating with diverse teams including product, technology, UX, and data stakeholders.
Familiarity with pharma/life sciences compliance such as GxP or HIPAA is a plus, indicating domain-relevant experience.