Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Positions are available for fully remote as well as hybrid work environments based in either downtown Chicago or Lake Forest, Illinois.

We hire at multiple levels for this team, ranging from Applied Machine Learning Scientist through Principal Machine Learning Scientist based on needs of the team and candidate qualifications.

This position is salaried and will pay between $116790 - $214710. This range is inclusive of Applied Machine Learning Scientist through Principal Machine Learning Scientist compensation.

The range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include, and are not limited to: a candidate's experience, qualifications, geographical area, and internal equity of the team.

• Work with a team of product managers, data scientists, data engineers and architects to build targeted products that help customers solve and answer specific problems.
• Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting.
• Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data.
• Contribute to the design and development of Insight generation methods using Order History, Product Utilization, Customer Industry Classification and Search History data.
• Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale.
• Articulate concepts and generate visual representations of the data product.

• Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience
• 3 years of experience with SQL, Python
• High level of proficiency in wrapping models in C/Python code and serving them as REST APIs
• 3 years of relevant work experience in an analytical role involving data extraction, analysis, and communication of findings
• 3 years of building models using traditional statistical methods and optimizing inference speeds of models when served as endpoints
• 3 years of experience deploying models into the cloud with tooling like Docker & Kubernetes
• Experience automating data augmentation and refresh using Airflow and Bash Scripting
• Ability to effectively communicate technical solutions to engineering teams and business audiences

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.

• Medical, dental, vision, and life insurance coverage starts day one
• Paid time off (PTO) days and 6 company holidays per year
• 6% 401(k) company contribution each pay period
• Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
• Employee discounts, parental leave, and more

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible 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. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.