Supply Chain Optimization Data Scientist Manager

Deloitte offers the opportunity to deliver transformational supply chain analytics by working directly with client stakeholders to define decision objectives and build models that can be tested, deployed, and adopted. This onsite role in Houston, TX focuses on turning planning and execution needs into functional and technical requirements, then operationalizing optimization, simulation, and forecasting through cloud-enabled analytical solutions.

Responsibilities

• Partner with client stakeholders to define decision objectives, constraints, business rules, and performance measures.
• Design and validate optimization, simulation, forecasting, scheduling, inventory, and network-design models.
• Build and integrate analytical solutions using Python, SQL, data pipelines, and enterprise systems.
• Evaluate 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 findings.

Requirements

• 6+ years of experience 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, such as Google Cloud Platform, Microsoft Azure, or AWS.
• Travel 50% on average, based on work needs and client or industry/sector coverage.
• Must be legally authorized to work in the United States without employer sponsorship, now or at any time 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.

Compensation: USD 141,200 - 278,300 per year.