Remote Behavioral Data Science Jobs in Chicago, IL

Work Location Type: Hybrid  

Req Number  333562

About Grainger

W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com.  

Compensation

The anticipated base pay compensation range for this position is $103,600.00 – $172,600.00 for Chicago location and the ranges for remote candidates are $95,900  - $159,800 . This role is eligible for an incentive target of up to 10 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

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

Grainger Benefits

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.

Position Details

We are looking for a Data Scientist to join our Digital Experience Analytics team who is passionate about using data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. We're looking for people who never stop learning. Having a desire to learn new skills and seek out new information about our business, our customers, and our work is important to maintain our success for the next 90 years. The Sr. Data Scientist will support the Digital organization by: 1) supporting digital experimentation 2) Developing and deploying statistical and machine learning models that improve the effectiveness of our digital operations 3) Measuring and identifying the drivers of digital performance

You will

• Build tools to automate and standardize experiments on Grainger’s e-commerce platform
• Become and serve as a subject-matter expert for one of Grainger’s digital products (e.g. search, recommendations, checkout, etc.)
• Analyze data sets, build predictive models, deploy and operationalize solutions to enhance organizational performance.
• Apply techniques such as classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive pricing models appropriate for solving different business problems.
• Conduct exploratory data analysis and apply deep business knowledge to customers and marketplace data to uncover new insights.
• Create and present the materials necessary to communicate the results of analytical work and associated recommendations and influence the use of analytical recommendations.
• Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
• Create the code to support large-scale data analyses, model development, model validation and deployment.
• Assist junior team members in developing new skills and knowledge.

You Have 

• Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering required -or- Bachelor in a Social Science with exposure to quantitative methods such as Economics, Political Science, Psychology or Sociology.
• Master’s or Ph.D. in a Quantitative field such as Statistics, Mathematics, Data Science, Applied Analytics or in a Social Science with a quantitative focus such as Economics, Political Science, Psychology or Sociology.
• 3+ years’ experience in analytics and data science roles required
• Exposure to the statistical design of experiments and statistical hypothesis testing
• Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
• Knowledge of one or more of the following programming languages: Python, R.
• Proficiency with extraction and manipulation of very large structured and unstructured datasets
• Proficiency with data visualization techniques
• Proficiency with multi-variate linear regression, logistic regression, and time series modeling
• Knowledge of classification, gradient-boosting, and natural language processing algorithms
• Experience leveraging cloud-based machine learning resources such as those from AWS
• Demonstrated ability to translate analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences
• Demonstrated ability to collaborate with business partners and colleagues

Preferred

• Familiarity with basic statistical concepts related to experimentation and causal inference such as randomization
• Experience with Python or R-based dashboarding tools such as Streamlit, Dash or Shiny
• The ability to collaborate with non-technical stakeholders and communicate complex technical topics to a 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.