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Tier-1 brand, mid-level data scientist role with broad toolset and transferable skills increases applicant competition.
Core data science skills are transferable, though biopharma domain experience is a notable advantage.
Explicit 3–5 year requirement plus specific tooling and degree make shortlisting moderately strict.
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Lead operational analytics across GPS by analyzing complex data to derive insights aligned with business priorities and value drivers.
Design, develop, and maintain predictive models, simulations, and dashboards focused on GPS needs, ensuring computational efficiency and statistical validity.
Collaborate closely with IT to build and enhance data pipelines and infrastructure, operationalizing analytics for global impact and mentoring junior analysts as needed.
Bachelor's or Master's degree in analytical, engineering, operations research, or scientific discipline.
3-5 years of proven experience in data and analytics roles with hands-on development experience.
Proficiency with large datasets and tools including R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau, Power BI.
Work schedule requires overlap with US East Coast working hours; onsite/hybrid work model not explicitly mentioned for this role.
Experienced in applying advanced analytics in biotechnology, biopharma, or related manufacturing/supply chain environments, preferably familiar with GPS applications like SAP or Oracle.
Comfortable across full analytics value chain from data pipeline collaboration to stakeholder communication and operationalizing solutions.
Strong strategic orientation to translate complex data into actionable business insights impacting product and process improvements.