Sr. Applied ML (Machine Learning) Scientist

About Grainger

Grainger is a global leading broad line supplier of facilities maintenance products serving businesses and institutions. Our 18,000 employees are driven to serve customers and the community in exceptional ways focusing on delivering the highest level of service. The Grainger team works closely with customers to better understand their challenges and provide cost-saving solutions. Grainger's employees serve customers more than 115,000 times every day through multiple channels. As part of a high-performing team, you’ll be able to develop your talents, and make a difference. Grainger is a Fortune 500 company and a perennial member of Fortune magazine's Most Admired Companies list.

Position Details:

The mission of the Customer Insight team is to provide all our customers and sellers with comprehensive reporting, analytics, and actionable insights - descriptive, inferential, and prescriptive, that deepen our customer relationships and increase market share. Our goal is to provide an actionable set of information that gives a customer a deeper understanding of their business or operation. We will differentiate in the market by servicing our customers better through using technology to scale our expertise.

You can be based in either downtown Chicago or Lake Forest, Illinois and will report to the Sr. Manager, Applied Machine Learning.

You Will:

You will work with a team of high performing product managers, data scientists, data engineers and architects to build extremely targeted products that help customers solve and answer specific problems. This role provides the candidate with an up-close view of how customers use and interact with what they build. You are a technologist with a keen interest in building products that deliver precise insights.

We are looking for an analytical problem solver who enjoys diving into the details, is excited about investigations, algorithms & data and can credibly interface between technical teams and business stakeholders.

Responsibilities

• 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 backwards 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

You Are:

• Bachelor or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics or equivalent experience.
• 4+ 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 working experience in an analytical role involving data extraction, analysis, and communication of findings
• 4+ 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

Rewards and Benefits:

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

• Medical, dental, vision, and life insurance plans
• Paid time off (PTO) and 6 company holidays per year
• Automatic 6% 401(k) company contribution each pay period
• Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
• A comprehensive set of emotional, financial, physical and social wellbeing programs

DE&I Statement

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.