Deloitte is seeking a Senior Consultant Supply Chain Optimization Data Scientist to support the US Supply Chain and Network Operations offering. In this role, you will design and deliver optimization and analytics solutions that combine operational expertise with digital technologies for client impact.
Role Overview
As a Senior Consultant, you will build and integrate optimization and analytics models that help clients make better decisions across service, cost, capacity, working capital, lead time, and resilience. The work spans defining decision requirements, developing models, and supporting solution testing, deployment, and adoption.
Key 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 operational and financial outcomes.
- Support solution testing and deployment, facilitate user adoption, and communicate analytical findings.
Required Qualifications
- 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.
- Proficiency with 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.
- Ability to travel 50%, on average, based on client and industry needs.
- Legally authorized to work in the United States without the need for employer sponsorship, now or in the future.
Preferred Qualifications
- 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.
Technologies
- Python, SQL
- ETL, ELT
- APIs
- Google Cloud Platform, Microsoft Azure, AWS
Team Context
The team supports clients in transforming value chains into competitive advantages. Work focuses on improving efficiency, flexibility, and responsiveness through proactive insights and decision-making, as well as advising, implementing, and operating transformational solutions across supply network and operational capabilities.
Additional Skills for Success
- Interest in building 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 of work product.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams and manage multiple tasks in a fast-paced environment.
- Strong interpersonal skills and professional demeanor; ability to meet deadlines.
- Ability to mentor and provide clear guidance to others.
Location and Compensation
Location: Sacramento, CA (onsite). Compensation: USD 116,200 to 229,100 per year.
