Applied Machine Learning Scientist

Work Location Type: Hybrid  

Req Number  334850

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 $112,900.00 – $188,100.00. This role is eligible for an incentive target of up to 5 %, 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.

"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."   

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

The Machine Learning Team in the Grainger Technology Group is hiring an Applied ML Scientist to help design, develop, and deploy advanced machine learning solutions for Grainger’s e-procurement (ePro) system. You will contribute to ML solutions, with techniques ranging from classical statistical modeling to modern AI and foundation models, designed to help modernize and streamline Grainger’s e-procurement operations.  

You Will

• Conduct exploratory data analysis to frame business problems, identify patterns, and define data and modeling requirements.
• Design, train, validate, and improve machine learning, deep learning, and related models for prediction, classification, ranking, retrieval, recommendation, matching/ entity resolution, product data enrichment, and related applications.
• Build maintainable, reusable code and data workflows using Python, SQL, and related tools to support experimentation, model development, and deployment.
• Evaluate model performance using appropriate metrics, experiments, and error analysis, and recommend improvements based on results.
• Partner with engineers, product managers, analysts, and other stakeholders to translate requirements into scalable, production-ready machine learning solutions.
• Support use cases including agentic automation, digital assistants, document intelligence and entity resolution. 
• Document methods, assumptions, results, and tradeoffs, and communicate technical findings and recommendations clearly to technical and nontechnical audiences.

You Have

• Bachelor's Degree in Computer Science, Statistics, Mathematics, Applied Mathematics, Engineering, Data Science, or a related field required required
• Master's Degree in a related field preferred
• 2+ years of experience in machine learning, data science, applied statistics, or a related analytical field required.  

• Strong Python and SQL programming skills, including data manipulation, analysis, and model development. 
• Knowledge of machine learning, statistical modeling, and model evaluation techniques. 
• Experience with feature engineering, experimentation, and interpreting model performance. 
• Ability to write maintainable code and work within software development practices such as version control and code review. 
• Strong communication and collaboration skills with the ability to explain technical concepts and tradeoffs to varied audiences. 
• Demonstrated experience with the scientific python stack including numpy, scipy, scikit-learn, statsmodels, pandas and torch. 
• Experience with Python API frameworks like Django, FastAPI or Flask, and with workflow orchestration tools like Airflow or Prefect preferred.
• Experience working with Snowflake or Databricks, MLFlow, Docker and Kubernetes preferred. 

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.