Applied Machine Learning Scientist

Key Skills

Docker, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL

Job Description

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 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, 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.