Director, Data Science

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Date: Nov 7, 2025

Location: LAKE FOREST, IL, US, 60045-5202

Company: Grainger Businesses

 

Work Location Type: Hybrid  

Req Number 325032

About Grainger:

 

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.  

 

 

 

 

 Compensation

The anticipated base pay compensation range for this position is $160,300.00  to $267,100.00.

 

Rewards and Benefits:

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger’s benefits, please click on the link below:

 

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

 

The pay range provided above is not a guarantee of compensation.  The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.   

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. 

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.  

 

 

 

The Director, Supply Chain Analytics leads the data science and operations research strategy for Grainger’s end-to-end supply chain.  This role drives innovation through advanced analytics and optimization to enable data-driven decisions and deliver measurable business impact.  The Director builds and empowers high-performing teams that design, develop, and deploy predictive and optimization models that enhance service,  and efficiency across the network.  The leader partners closely with senior supply chain, AI/ML, and technology leaders to define critical capabilities, prioritize opportunities, and help chart the path forward for Grainger’s supply chain. 

 

You Will 

  • Lead and develop a high-performing analytics team that uses data science, operations research, and machine learning to solve complex supply chain challenges and foster a culture of collaboration and innovation. 

  • Define and execute a supply chain analytics strategy aligned with Grainger’s priorities to drive measurable gains in service, productivity, and network efficiency. 

  • Partner with Supply Chain Optimization and cross-functional teams to identify where advanced analytics and optimization can deliver impact and shape future capabilities. 

  • Oversee the design, development, and deployment of predictive and optimization models with analytical rigor, production scalability, and disciplined governance throughout the model lifecycle. 

  • Champion analytics across the supply chain by explaining complex ideas clearly and advocating for data-driven decisions at all levels. 

  • Collaborate with senior leaders to align strategic priorities and integrate analytics solutions into core operations. 

  • Develop and mentor analytics talent through coaching, growth opportunities, and clear career paths to strengthen Grainger’s long-term analytics capability. 

  • Stay current on emerging technologies in data science, optimization, and AI/ML to keep Grainger at the forefront of supply chain innovation. 

 

You Have 

  • Bachelor's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field required 

  • Master's Degree or equivalent experience in Data Science, Computer Science, Statistics, Mathematics or a related field preferred 

  • 10+ years in Data Science or Analytics required 

  • Advanced knowledge of machine learning, statistical modeling, and predictive analytics. 

  • Proficiency in Python, R, SQL, and cloud platforms (AWS, Azure, GCP). 

  • Ability to define and execute a data science strategy aligned with business goals. 

  • Skill in translating complex analytics into clear, actionable insights for diverse audiences. 

  • Strong ability to influence and partner across a matrixed organization at senior levels to drive impact. 

  • Proven ability to build and lead high-performing teams and foster a culture of collaboration and innovation. 

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

 

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.