Manager Data Science

About the role

The Manager II, Modeling & Capacity Planning, is responsible for leading advanced analytical modeling and capacity planning efforts to support end-to-end supply chain performance. This role leverages quantitative modeling (linear and non-linear optimization, MILP, deep learning), machine learning algorithms, and AI techniques (computer vision, classification techniques, imputation) to translate complex operational data into actionable insights that optimize material flows, capacity utilization, network efficiency, service levels, and cost.

Responsibilities

• Develop custom optimization tools in Python using Gurobi to solve complex problems in transportation routing, inventory optimization, origin destination pairings. Design and execute scenario analysis to evaluate trade-offs related to demand variability, labor and asset capacity, network changes, and service-level commitments. Provide recommendations that balance cost, service, and operational risk.
• Implement ML and AI techniques in supply chain use cases: predictive models, clustering techniques, computer vision, deep learning, and forecasting algorithms.
• Serve as a subject matter expert in supply chain modeling and advanced analytics, delivering tools and insights that enable proactive planning and optimized execution.
• Support the creation of strategic roadmaps for network growth, modernization, and optimization initiatives.
• Develop standardized evaluation models for expansion, network redesigns, and transportation optimization projects.
• Conduct scenario planning and forward-looking analyses to guide investment and operational decisions.
• Develop, maintain, and enhance capacity planning models that predict volume flows, resource requirements, and operational constraints across the supply chain network.
• Analyze supply chain performance trends to identify bottlenecks, inefficiencies, and improvement opportunities. Translate insights into actionable recommendations aligned with business objectives.
• Partner with Operations, Transportation, Warehousing, Inventory Planning, Finance, and Technology teams to align modeling assumptions, KPIs, and planning outputs with real-world constraints and strategic priorities.
• Define, monitor, and refine capacity and planning KPIs. Develop reporting and visualization tools to communicate performance, risks, and opportunities to leadership.
• Design and execute stress tests, simulations, and what-if analyses to validate models and quantify the impact of planning decisions.
• Lead, coach, and develop analysts and planners, ensuring consistent modeling standards, analytical rigor, and timely delivery of insights.
• Collaborate with IT and data teams to ensure data integrity, improve data pipelines, and support system enhancements that enable scalable modeling and planning solutions.

Requirements

• Bachelor's degree in industrial engineering, Operations Research, Supply Chain Management, Applied Mathematics, Statistics, Computer Science, or a related quantitative field required.
• Master's Degree preferred (e.g., Supply Chain, Analytics, Operations Research, Computer Science, Statistics)
• 7+ years of progressive experience in optimization, network design, supply chain analytics, capacity planning, or forecasting
• 3+ years of experience leading advanced quantitative models or decision-support tools

Qualifications

• Ability to work independently and manage multiple tasks simultaneously.
• Strong analytical skills with proficiency in statistical software and programming languages such as Python, R, SQL.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of supply chain management concepts and best practices.

Skills

• Advanced knowledge of optimization techniques, including linear and non-linear programming, mixed-integer linear programming (MILP).
• Experience with machine learning algorithms and deep learning frameworks.
• Proficiency in data analysis and interpretation.
• Experience with data visualization tools.
• Strong problem-solving and decision-making abilities.

Benefits

ADUSA Distribution offers competitive compensation and comprehensive benefits including health insurance, retirement plans, paid time off, and more. We also offer a flexible work environment and opportunities for professional development.

Pay

Salary range: $80,000 - $120,000 annually, commensurate with experience.

Schedule

Full-time, Monday through Friday, 8:00 AM - 5:00 PM.