Job details

Applied Machine Learning Scientist

Work Location Type: Onsite 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. The work location will be based either in Chicago or Lake Forest, IL. The position requires being in a Grainger office 2 days per week. For candidates who are out of state, we are open to providing partial relocation assistance. The position will report to Sr Manager, Applied Machine Learning.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 specific business problems, like classification, regression and learning to rank• 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.• 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 equivalent experience• Experience building solutions with Python, and familiarity with SQL• Familiarity with modern Natural Language Processing (NLP) including experience with text classification, text embeddings, and natural language generation• Experience with wrapping models and serving them as REST APIs• Experience in analytical roles involving data analysis, and communicating of findings• Proficiency with tools like Airflow, Docker & Kubernetes• Ability to effectively communicate technical solutions to engineering teams and business audiencesDon’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, 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 moreWe 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.

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What You Should Know About Applied Machine Learning Scientist, Grainger

At Grainger, we're on the lookout for an Applied Machine Learning Scientist to join our Product Discovery team located in beautiful Lake Forest, CA. If you're passionate about creating innovative ML solutions in areas like Search, Information Retrieval, Recommendations, and Conversational Product Finding, this could be the perfect opportunity for you! As a key player in our team, you'll collaborate with talented product managers, data scientists, engineers, and analysts to craft scalable machine learning solutions that help customers solve real problems. By utilizing Python and SQL, you’ll analyze data, build robust ML models, and deploy customer-facing endpoints and APIs. You’ll also engage with researchers and business leaders to define requirements and visualize analytical concepts, ensuring your work has a significant impact. While we ask that you spend at least two days a week in the office, we’re open to partial relocation assistance for out-of-state candidates. At Grainger, we foster a culture that supports learning and growth as we work together to keep businesses running and their people safe. We can’t wait to see how your skills and experiences can drive innovation here and help us continue our legacy in the next century!

Frequently Asked Questions (FAQs) for Applied Machine Learning Scientist Role at Grainger

What are the main responsibilities of the Applied Machine Learning Scientist at Grainger?

As an Applied Machine Learning Scientist at Grainger, your primary responsibilities include collaborating with cross-functional teams to design and implement ML solutions focused on Search, Information Retrieval, and Recommendations. You will use Python and SQL for data analysis and model building, deploy analytical endpoints and APIs, and articulate concepts clearly to both technical teams and business stakeholders.