Grainger ยท 1 day ago
Data Scientist
Chicago, IL
Full-time
Hybrid
Entry, Mid Level
$85K/yr - $142K/yr
2+ years expGrainger is a leading broad line distributor serving millions of customers worldwide. The Data Scientist will leverage machine learning and statistical analysis to provide data-driven insights that support business decisions and drive growth.
HospitalityIndustrialManufacturingOffice SuppliesSupply Chain Management
Responsibilities
Work closely with the business to understand the problem space, identify the opportunities, and translate business problems into technical solutions using machine learning frameworks
Conduct exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new business insights
Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations
Create scalable, efficient, automated processes to support large scale data analyses, model development, model validation and deployment. Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, time series forecasting to build explanatory, predictive, prescriptive models appropriate for solving different business problems
Create and present the materials necessary to effectively communicate the results of analytical work and associated recommendations
Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market
Qualification
Required
Bachelor's Degree Data Science, 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) and working with structured and unstructured datasets
Experience with machine learning techniques such as classification, clustering, dimension reduction, regression, NLP algorithms, and time series modeling
Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
Preferred
Master's Degree Data Science, Statistics, Mathematics, Computer Science, or other quantitative field
Benefits
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.
Company
Grainger
As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.
10001+ employees
H1B Sponsorship
Grainger has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (26)
2023 (15)
2022 (28)
2021 (14)
2020 (20)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
D. G. Macpherson
Chief Executive Officer
Nancy Berardinelli-Krantz
Senior Vice President and Chief Legal Officer
Recent News
Benzinga.com
2025-12-30
2025-11-08
Company data provided by crunchbase