Supply Chain Optimization Data Scientist Manager at Deloitte | AZ, US | Rezi

Supply Chain Optimization Data Scientist Manager at Deloitte

Supply Chain Optimization Data Scientist Manager

Deloitte · AZ, US

4 weeks ago

Supply Chain Optimization Data Scientist Manager

Deloitte · AZ, US

a month ago
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About the Role

We are a team of strategic advisors, architects, and implementers who drive business transformations. Our diverse talent energizes clients' business functions and technology to maximize value in Supply Chain enhancing their ability to fulfill their growth and efficiency ambitions. Imagine working with world-class supply network capabilities like Smart Factory, Strategy & Innovation, Supply Chain Responsiveness, Sourcing & Procurement, or Product Development & Operations! Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions. Become a vital part of our innovative and dynamic workforce.

Responsibilities

  • Define decision objectives, constraints, business rules, and performance measures with client stakeholders.
  • 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 on service, cost, capacity, working capital, lead time, and resilience.
  • Support solution 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 extract, transform, and load (ETL), extract, load, and transform (ELT), or application programming interfaces (APIs).
  • At least 1 Cloud platform certification such as Google Cloud Platform, Microsoft Azure or AWS.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Master’s degree in operations research, supply chain, computer science, or applied mathematics.
  • 4+ 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.

Skills

  • The 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 of 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 and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others
  • Python
  • SQL

Location

  • Atlanta, Georgia, United States
  • Austin, Texas, United States
  • Baltimore, Maryland, United States
  • Boston, Massachusetts, United States
  • Charlotte, North Carolina, United States
  • Chicago, Illinois, United States
  • Cincinnati, Ohio, United States
  • Cleveland, Ohio, United States
  • Columbus, Ohio, United States
  • Costa Mesa, California, United States
  • Dallas, Texas, United States
  • Denver, Colorado, United States
  • Detroit, Michigan, United States
  • Hartford, Connecticut, United States
  • Houston, Texas, United States
  • Indianapolis, Indiana, United States
  • Jacksonville, Florida, United States
  • Kansas City, Missouri, United States
  • Los Angeles, California, United States
  • McLean, Virginia, United States
  • Miami, Florida, United States
  • Milwaukee, Wisconsin, United States
  • Minneapolis, Minnesota, United States
  • Morristown, New Jersey, United States
  • Nashville, Tennessee, United States
  • New Orleans, Louisiana, United States
  • New York, New York, United States
  • Philadelphia, Pennsylvania, United States
  • Pittsburgh, Pennsylvania, United States
  • Portland, Oregon, United States
  • Raleigh, North Carolina, United States
  • Richmond, Virginia, United States
  • Sacramento, California, United States
  • San Antonio, Texas, United States
  • San Diego, California, United States
  • San Francisco, California, United States
  • San Jose, California, United States
  • Seattle, Washington, United States
  • St. Louis, Missouri, United States
  • Stamford, Connecticut, United States
  • Tampa, Florida, United States
  • Tempe, Arizona, United States

Work Type

  • Onsite

Experience Level

  • 6+ years of experience
  • 4+ years of experience

Education Level

  • Master's degree in operations research, supply chain, computer science, or applied mathematics.

Salary/Compensations

  • $141,200 to $278,300

Benefits

  • Discretionary annual incentive program

About the Company

  • Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
  • Deloitte’s purpose is to make an impact that matters for our people, clients, and communities.
  • We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
  • Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
  • Deloitte is committed to providing reasonable accommodations for people with disabilities.