Principal Machine Learning Scientist

Key Skills

Apache Airflow, Bash scripting, C Programming, Cloud computing, Computer Vision (CV), Data Analysis, Data Analytics, Docker, Kubernetes-K8s, Leadership, Machine learning techniques, Natural Language Processing (NLP), Python Programming, REST API, SQL

Job Description

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.

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 will work with a team of product managers, data scientists, data engineers and architects to build extremely targeted products that help customers solve and answer specific problems.

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

Pay:

This position is salaried and will pay between $139,740 - $214,710 with a 15% annual bonus. 

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.

You Will:

• Use 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. 
• Mentor junior scientists and engineers.
• Take a lead role in setting engineering standards. 

You Have:

• Bachelor or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics or equivalent experience. A PhD is preferred.
• 6+ years of experience with SQL, Python 
• High level of proficiency in wrapping models in C/Python code and serving them as REST APIs 
• 10+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings 
• 5+ 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 
• 5+ years of experience as a technical team leader 
• 5+ years of experience in Computer Vision or Natural Language Processing 

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

DEI 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.