About the role
Global Supply Chain Data Scientist role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
Life SciencesOnsite
Key Responsibilities
- As the Global Supply Chain Data Scientist, you will develop and deploy analytics, automation, and predictive models that improve logistics cost, service, and operational scalability across the global network.
- Lead cross‑functional digital initiatives from concept to rollout—translating logistics problems into data products (dashboards, models, alerts) and ensuring solutions are implemented, adopted, and sustained through strong project governance and change management.
Requirements
- Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
- Typically, at least 8 years of experience in data science or equivalent work experience.
- PMP certification preferred, with proven experience managing large-scale, enterprise-level projects.
- Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.