Data Scientist Supply Chain Jobs (NOW HIRING)

Job Summary:
Genentech, a pioneering biotechnology company now part of the Roche Group, is dedicated to developing groundbreaking medicines for serious health challenges. The Principal Supply Chain Data Scientist will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging data science methodologies and technologies to enhance supply chain strategy and decision-making.
Responsibilities:
• Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation.
• Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning.
• Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches.
• Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations.
• Develop and maintain reports and dashboards using Tableau.
• Generate and distribute reports using SQL Reporting Services.
• Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers.
• Create and execute detailed schedules for deliveries, warehouse operations, and related activities.
• Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights.
• Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement.
• Plan inbound/outbound logistics to meet daily and weekly distribution schedules.
• Plan efficient delivery routes and schedules for cost-effective transportation of medications.
• Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness.
• Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices.
• Evaluate and propose innovation opportunities through investment modeling and process improvements.
• Serve as a strategic advisor, translating business challenges into actionable, data-driven insights.
• Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals.
• Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects.
• Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations.
• Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement.
• Analyze performance data to identify issues and implement changes to enhance efficiency and customer service.
• Address disruptions in the distribution process promptly and develop contingency plans for potential risks.
• Regularly review performance metrics and adjust processes for ongoing optimization.
• Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations.
• Create comprehensive documentation and reports to communicate insights and recommendations.
• Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management.
• Create, implement, and manage data integration workflows using SQL Integration Services.
• Develop multidimensional cubes and tabular models in SQL Analysis Services.
• Ensure data integrity, accuracy, and security across all BI systems.
• Continuously improve BI processes and methodologies to enhance efficiency and effectiveness.
Qualifications:
Required:
• Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required.
• Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics.
• Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms.
• Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R).
• Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms.
• Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement.
• In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations.
• Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis.
• Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services.
Preferred:
• Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics.
• Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.