onsite
Senior Data Scientist - Supply Chain Operations - McKesson
Data Scientist
Lead advanced analytics for supply chain operations, leveraging Python, machine learning, and AWS to deliver predictive insights and optimize inventory, demand forecasting, and logistics across a Fortune 10 healthcare network.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning models to forecast demand, optimize inventory levels, and improve logistics efficiency across the supply chain.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions, ensuring alignment with strategic objectives.
- Build and maintain scalable data pipelines using SQL, Python, and AWS services (S3, Redshift, SageMaker) to ingest, clean, and transform large datasets.
- Perform advanced statistical analysis and A/B testing to validate model performance and business impact.
- Communicate findings through interactive dashboards and visualizations, enabling stakeholders to make informed decisions.
Requirements
- 8+ years of experience in data science or analytics, with a strong focus on supply chain or logistics.
- Proficiency in Python, SQL, and experience with AWS data services.
- Deep knowledge of machine learning algorithms, statistical modeling, and time‑series forecasting.
- Hands‑on experience building production‑grade data pipelines and deploying models at scale.
- Excellent communication skills and ability to translate complex insights into actionable business recommendations.
Skills
pythonmachine learningsqlaws