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Data Scientist

Date: Oct 9, 2021

Location: LAKE FOREST, IL, US, 60045-5201 CHICAGO, IL, US, 60603-4013

Company: Grainger Businesses

ABOUT GRAINGER

Grainger is North America's leading distributor of maintenance, repair, and operating products. Our wide assortment, deep expertise, new technology solutions and unparalleled customer service keep customers' operations running and their people safe.

We're looking for passionate people who can move our company forward. 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. Find your way at Grainger.

PRIMARY FUNCTION

At Grainger, using insights to better serve our customers has been foundational to our success. It started with Bill Grainger identifying the need for a supply of Motors to serve America's mechanizing economy over 90 years ago. And even though a lot has changed since then, generating new insights remains essential to our business. Except now we harness massive amounts of data, technology and techniques in the industry to inform decisions across the company.

We are looking for data scientists to join 50+ other Analytics and Data team members in our center of excellence supporting the entire business. We are looking for people who never stop learning; who seek out new information about our business, our customers, and our work.

RESPONSIBILITIES

The Data Scientist will report to a Manager of Data Science. You will:

  • Create perspectives on customers and marketplace dynamics that inform strategic choices
  • Develop statistical and machine learning models that improve the effectiveness of our business operations
  • Measure and identify the drivers of performance.
  • Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions
  • Apply techniques such as classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems
  • Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations
  • Conduct exploratory data analysis and apply deep knowledge to customer and marketplace data to uncover new insights
  • Present the materials necessary to communicate the results of work and associated recommendations
  • Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair and Operations (MRO) market
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
  • Write the code to support large-scale data analyses, model development, model validation and deployment

EDUCATION AND QUALIFICATIONS

  • 2+ years of experience in analytics and data science roles or advanced degree
  • BS in a technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering
  • Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
  • Experienced with one of the following programming languages: Python, R, SPSS, or SAS
  • Experience working with very large structured and unstructured datasets
  • Experience with data visualization techniques
  • Experience with multi-variate linear regression, logistic regression, and time series modeling
  • Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
  • Experience translating work into presentations (e.g. PowerPoint) suitable for non-technical audience

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.