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Tier-1 employer, metro location, and popular Data Scientist hybrid role increase candidate competition.
Requires supply-chain analytics experience and pharmaceutical compliance familiarity, reducing cross-industry transferability.
Multiple mandatory techs, cloud, domain and compliance expectations create strict shortlisting filters.
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Develop and deliver interactive analytics applications and decision-support tools for clinical and commercial supply chain processes.
Rapidly prototype and build user-facing dashboards, visualizations, and front-end interfaces using modern technologies.
Own product modules by understanding data flows, user workflows, and technical architecture to improve supply chain visibility and operations.
Work Experience Required: Not explicitly mentioned in the JD.
Strong proficiency in Python and SQL; working knowledge of JavaScript/TypeScript, React, Node.js, REST or GraphQL APIs, and SQL/NoSQL databases.
Hands-on experience with cloud services and well-architected cloud design principles.
Experience developing dashboards, visual analytics, and interactive decision-support tools for supply chain use cases.
Versatile technical data scientist skilled in both front-end analytics application development and back-end data integration.
Experienced in translating complex business and scientific requirements into intuitive, user-centered analytics solutions.
Familiar with supply chain management principles and applying data science or visualization tools in pharma/life sciences contexts.