Data Jobs in Lake Forest, IL

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1mo ago

Data Scientist

W.W. Grainger Lake Forest, IL

Lake Forest, IL

1mo ago Closed

$87k - $145k/yr Full time Python Analytics Big Data

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

As a Data Scientist within Grainger's Finance organization, you will apply machine learning and statistical analysis to uncover insights, generate business value, and support decision-making through scalable analytical solutions. This position is based in Lake Forest, Illinois, with a hybrid work arrangement.

Responsibilities

Collaborate with business partners to define problems and translate them into technical solutions using machine learning frameworks.
Perform exploratory data analysis and leverage deep business knowledge of customers and marketplace data to uncover new insights.
Work with high-volume, high-dimensional data from multiple sources, visualize patterns and anomalies, and perform feature engineering and selection.
Design and run experiments, collect data for statistical hypothesis testing, and derive inferences and recommendations.
Develop scalable, automated processes to support large-scale data analyses, model development, validation, and deployment.
Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, and time series forecasting to address varied business problems.
Prepare and present materials that effectively communicate analytical results and recommendations to audiences.
Build expertise on Grainger's business operations, go-to-market model, and the broader MRO market.

Requirements

Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Minimum 2 years of data science or statistics-related work experience.
Proficiency with Snowflake, Teradata, or Oracle and SQL querying.
Proficiency in at least one data science programming language (Python or R) and experience with structured and unstructured data.
Experience with machine learning techniques including classification, clustering, dimension reduction, regression, NLP, and time series modeling.
Experience with experimental design, outlier detection methods, and statistical hypothesis testing.
Experience with data visualization techniques and tools.
Ability to translate work into presentations suitable for non-technical audiences.
Proven collaboration with business partners and colleagues.

Technologies

Snowflake
Teradata
Oracle
SQL
Python
R
PowerPoint

Benefits

Medical, dental, vision, and life insurance starting on day one, plus six complimentary therapy sessions annually.
18 paid time off days per year for full-time employees, plus six company holidays.
6% company contribution to the 401(k) plan per pay period with no required employee contribution.
Employee discounts, tuition reimbursement, student loan refinancing, and access to financial counseling and tools.
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents with up to 4 weeks for non-birth parents.
For additional information about Grainger’s benefits, see the New Hire resources link: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

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 products and value-added solutions delivered through innovative technology and deep customer expertise. The company is known for its service focus and purpose-driven culture, with reported revenue of $17.9 billion in 2025.

Compensation

The anticipated base pay range for this role is USD 87,200.00 – 145,300.00. The position is eligible for an incentive target of up to 5% based on individual and company performance, as defined by the current incentive program terms.

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