Work Location Type: Hybrid 

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.

Position Details: 

Grainger's Product Discovery team seeks an Applied ML Scientist to help Grainger build innovative and impactful ML solutions in Search, Information Retrieval, Recommendations and Conversational Product Finding. The Applied ML Scientist will work with Product Managers, Software/Platform/Data Engineers and Analysts to create scalable ML solutions. 

You Will: 

• 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 ML models to solve business problems.

• Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data.  

• Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.  

• Work backward from customer use cases, resulting in the implementation of ML models that solves the use cases at scale.  

• Articulate concepts and generate visual representations of the data product.  

You Have: 

• Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience  

• Experience building solutions with SQL and Python 

• Experience with wrapping models in C/Python code and serving them as REST APIs  

• Relevant work experience in an analytical role involving data extraction, analysis, and communication of findings  

• 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 

Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. If you feel you don’t have all the desired experience, but it otherwise aligns with your background and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. 

Rewards and Benefits:

With benefits starting day one, our programs provide choice and flexibility to meet team members' individual needs. Check out the highlights below and review all our benefits at GraingerTotalRewards.com.

• Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing

• Paid time off (PTO) and 6 company holidays per year

• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match 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

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.