Data Scientist

Location:

LAKE FOREST, IL, US, CHICAGO, IL, US,

Work Location Type:
Hybrid Req Number 322969

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,  offers customers access to more than 14 million products, and  offers more than 24 million products. For more information, visit

Compensation:
The anticipated base pay compensation range for this position is $79,000.00 to $. 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:

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.

This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

The Data Scientist is responsible for building and maintaining large‑scale statistical models that turn data points into insights and actions. Supports under general supervision the execution and development of data mining, queries, and bioinformatics analysis. Works objectively on algorithm development as it relates to initiatives studies, data, and product and/or other functions. This is a hybrid position that is based onsite in Lake Forest or Chicago, IL 3 days a week.

• Propose and evaluate innovative solutions for analyzing, clustering, associating, and classifying data.
• Develop and validate algorithms via analysis, computer simulation, and prototyping.
• Extend analytics platform for connected devices and sensors.
• Write and debug production code that spans the vertical from database to computational layer to web service.
• Work collaboratively with QA team to assist in identifying and developing a wide‑range view of individual case studies. Helps maintain large‑scale analytics infrastructure, including distributed storage and computation clusters.
• Work cross‑functionally, serve as a knowledge base, and facilitate training to research partners on the development of data science…