Sr Applied Machine Learning Scientist

Location: LAKE FOREST, IL, US,

Work Location Type:
Remote

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,  offers customers access to more than 14 million products, and  offers more than 24 million products. For more information, visit

The anticipated base pay compensation range for this position is $ to $.

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.

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.

As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You’ll work end-to-end — from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact.

• Partner with business teams to understand problems, identify opportunities, and translate them into impactful ML solutions.
• Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
• Design, build, and deploy scalable ML models and pipelines from ideation to production, following best practices in MLOps and software engineering.
• Use advanced ML methods — including deep learning, NLP, LLMs, and time series forecasting — and selectively apply optimization approaches like linear programming or simulation to build scalable, data-driven solutions.
• Develop interactive analytical tools and applications (e.g., React, Streamlit) to visualize model outputs, simulate scenarios, and make insights actionable.
• Design and deploy scalable, automated ML workflows for data analysis, model development, validation, and deployment — integrating analytical products and APIs into business systems.
• Collaborate with business partners, engineering, MLOps/Dev Ops and Product teams…