Overview
On Site
USD 121,500.00 - 202,500.00 per year
Full Time
Skills
Customer Relationship Management (CRM)
Repair
MRO
Technical Support
Inventory Management
Management
Computer Science
Electrical Engineering
Physics
Science
Customer Facing
Statistics
Grafana
SQL
Data Analysis
Workflow
Training
Python
Amazon Web Services
Collaboration
Data Engineering
Real-time
Machine Learning (ML)
Law
Recruiting
Job Details
Work Location Type: Hybrid
About Grainger:
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 maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit
Grainger Management LLC is seeking a Senior Applied Machine Learning Scientist in Lake Forest, IL with the following requirements: Master's degree in Computer Science, Electrical Engineering, Applied Machine Learning, Physics, Information Science or related field plus 2 years related experience. Prior experience must include: Design, build and evaluate customer-facing production machine learning models using Python, AWS and statistical analysis; Deploy and monitor the latency of real-time production machine learning models using AWS; Monitor and identify drift in production machine learning models using Grafana, SQL and data analysis; Develop end-to-end machine learning workflows to improve the speed and efficiency of model training using Python and AWS; Collaborate with the data engineering team to productionize new data sources for real-time machine learning.Up to 60% remote work allowed.
Compensation: The anticipated base pay range for this position is $121,500.00 - $202,500.00, which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Rewards and Benefits: To learn about Grainger's benefits, please visit:
Please submit resume to , reference job #319526.
PERM-KD
#LI-DNI
#IN-DNI
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.
About Grainger:
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 maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit
Grainger Management LLC is seeking a Senior Applied Machine Learning Scientist in Lake Forest, IL with the following requirements: Master's degree in Computer Science, Electrical Engineering, Applied Machine Learning, Physics, Information Science or related field plus 2 years related experience. Prior experience must include: Design, build and evaluate customer-facing production machine learning models using Python, AWS and statistical analysis; Deploy and monitor the latency of real-time production machine learning models using AWS; Monitor and identify drift in production machine learning models using Grafana, SQL and data analysis; Develop end-to-end machine learning workflows to improve the speed and efficiency of model training using Python and AWS; Collaborate with the data engineering team to productionize new data sources for real-time machine learning.Up to 60% remote work allowed.
Compensation: The anticipated base pay range for this position is $121,500.00 - $202,500.00, which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Rewards and Benefits: To learn about Grainger's benefits, please visit:
Please submit resume to , reference job #319526.
PERM-KD
#LI-DNI
#IN-DNI
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.