Data Scientist

Overview

Location: LAKE FOREST, IL, US, ; CHICAGO, IL, US,

Work Location Type: Hybrid

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

Compensation

The anticipated base pay compensation range for this position is $79,000.00 to $131,600.00.

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.

Notes

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 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.

Role 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.

Location This is a hybrid position that is based onsite in Lake Forest or Chicago, IL 3 days a week.

You Will:

• Propose and evaluate innovative solutions for analyzing, clustering, associating, and classifying data
• Develop and validates algorithms via analysis, computer simulation, and prototyping
• Extend analytics platform for connected devices and sensors
• Write and debugs 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, serves as a knowledge base, and facilitates training to research partners on the development of data science models that will drive critical business decisions
• Participate in brain storming sessions and works collaboratively with engineering and production teams on the development and deployment of products
• Deliver insights derived from complex data analysis into simple conclusions that impact leadership to drive action and communicates results to internal and public forums; contributes to the development of peer-reviewed articles, events and workshops as needed

You Have:

• Bachelor\'s degree in Statistics, Mathematics, Computer Science, or other quantitative field
• 2+ years experience in specialized research, such as informatics, data collection, scientific research and research equipment
• Proficiency in databases such as Teradata, Snowflake or Oracle and querying languages (e.g. SQL)
• Experienced with at least one data science programming languages (e.g., Python, R, SPSS, or SAS) and working with structured and unstructured datasets
• Experience with multi-variate linear regression, logistic regression, and time series modeling
• Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
• Experience with data visualization techniques and tools
• Experience translating work into presentations (e.g. PowerPoint) suitable for non-technical audience

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.