Supply Chain Optimization Data Scientist Manager

Lead supply chain optimization and analytics initiatives by defining decision logic, building optimization models, and delivering technology-enabled solutions for clients onsite in Philadelphia.

Responsibilities

• Partner with client stakeholders to define decision objectives, constraints, business rules, and performance measures.
• Design, build, and validate optimization, simulation, forecasting, scheduling, inventory, and network-design models.
• Develop and integrate analytical solutions using Python, SQL, data pipelines, and enterprise systems.
• Assess scenarios and trade-offs to quantify impacts across service, cost, capacity, working capital, lead time, and resilience.
• Support testing, deployment, user adoption, and communication of analytical results.

Requirements

• Desire to build technology-driven solutions.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality-focused work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.
• 6+ years delivering analytical or technology solutions from concept through production deployment.
• Experience developing optimization, simulation, forecasting, scheduling, inventory, or network-design models.
• Experience using Python and SQL for data preparation, validation, and modeling.
• Experience translating supply chain planning or execution processes into functional or technical requirements.
• Experience integrating models or data through ETL, ELT, or APIs.
• At least 1 Cloud platform certification, including Google Cloud Platform, Microsoft Azure, or AWS.
• Ability to travel 50% on average based on client and sector needs.
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Preferred

• Master’s degree in operations research, supply chain, computer science, or applied mathematics.
• 4+ years experience with supply chain planning, decision intelligence, control towers, digital twins, or optimization platforms.
• Experience deploying analytical solutions in cloud or enterprise environments and integrating with planning, warehouse, transportation, manufacturing, or supplier-management systems.

Technologies

• Python
• SQL
• ETL
• ELT
• APIs
• Google Cloud Platform
• Microsoft Azure
• AWS

Location

• Philadelphia, PA (onsite)

Compensation

• Estimated base pay range: USD 141,200 - 278,300 per year