Principal Supply Chain Data Scientist

About the role

Genentech, part of the Roche Group, is hiring a Principal Supply Chain Data Scientist at its main US distribution facility in Louisville, Kentucky. The role leads advanced analytical initiatives to optimize pharmaceutical distribution, designing predictive and prescriptive models and reporting directly to the Head of Business Excellence.

Key responsibilities

• Design, implement and validate advanced algorithms and predictive models, applying machine learning, statistics and optimization to forecasting, inventory management and logistics planning.
• Analyze large datasets with data mining tools and build AI-driven tools for better planning accuracy and warehouse operations.
• Create reports and dashboards with Tableau, and generate reports with SQL Reporting Services.
• Develop distribution plans, delivery schedules and warehouse capacity models, analyze space utilization, plan inbound/outbound logistics and delivery routes, and evaluate the distribution network for bottlenecks.
• Build digital twin models for scenario planning, run investment modeling and propose process improvements.
• Act as a strategic advisor and subject matter expert, presenting findings to senior leadership and managing data governance.
• Track KPIs such as on-time delivery, inventory turns and order fulfillment, address disruptions and set up contingency plans.
• Ensure regulatory compliance for pharmaceutical distribution and supply chain management.
• Manage BI systems: data integration workflows with SQL Integration Services, multidimensional cubes and tabular models in SQL Analysis Services, and data quality and security.

Required profile

• Bachelor's degree in a quantitative or technical field (Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, Computer Science); Master's or PhD strongly preferred.
• Over 10 years in supply chain analytics, business intelligence or advanced data science, with at least 8 years in advanced supply chain analytics.
• Demonstrated track record of implementing analytics in supply chain contexts; pharmaceutical distribution expertise preferred.

Required skills

• Python, SQL and cloud-based tools, with machine learning model development and optimization algorithms.
• Statistical and machine learning packages such as scikit-learn, TensorFlow and R.
• Optimization tools such as Gurobi and CPLEX, and inventory management platforms.
• Familiarity with SQL Integration Services, SQL Analysis Services and SQL Reporting Services.

What we offer

• Expected salary range of $127,100 - $236,100 depending on experience, qualifications and location; actual pay determined by the employer.
• A discretionary annual bonus may be available.
• The position qualifies for the company's benefits.
• No relocation funding is available.