Senior Data Scientist - Supply Chain Operations - McKesson

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.