Supply Chain Optimization Data Scientist Senior Consultant

Deloitte helps clients turn value-chain complexity into measurable competitive advantage. In this Senior Consultant role within the US Supply Chain & Network Operations Offering, you will apply operational expertise alongside digital technologies and advanced analytics to deliver transformational solutions for supply chain planning and operations.

As a Supply Chain Optimization Data Scientist, you will work with stakeholders to translate decision needs into optimization, simulation, forecasting, and related analytical models. Your output helps teams evaluate scenarios and trade-offs while quantifying impacts across service, cost, capacity, working capital, lead time, and resilience. The role is based in Tampa, FL (onsite) with an estimated wage range of $116,200 to $229,100 per year.

What you’ll do

• Define decision objectives, constraints, business rules, and performance measures in partnership with client stakeholders.
• Design, implement, 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 operational outcomes across service, cost, capacity, working capital, lead time, and resilience.
• Support solution testing, deployment, user adoption, and communicate analytical findings to drive decision-making.

What you’ll need

• 3+ years of experience delivering analytical or technology solutions from concept through production deployment.
• Experience developing optimization, simulation, forecasting, scheduling, inventory, or network-design models.
• Hands-on experience with Python and SQL for data preparation, validation, and modeling.
• Ability to translate 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.
• Ability to travel 50%, on average, based on work, clients, and industries served.
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Tech stack you’ll work with

• Python, SQL
• Data pipelines, enterprise systems
• ETL, ELT, APIs
• Google Cloud Platform, Microsoft Azure, AWS

Helpful background

• Master’s degree in operations research, supply chain, computer science, or applied mathematics.
• 2+ years of 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.