Senior Data Scientist

Date: May 15, 2023

Location: Hybrid, IL, US, N/A LAKE FOREST, IL, US, 60045-5201 CHICAGO, IL, US, 60603-4013

Company: Grainger Businesses

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:

We are looking for a Data Scientist to join our Pricing Data Science team who is passionate about using data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. We’re looking for people who never stop learning.  Having a desire to learn new skills and seek out new information about our business, our customers, and our work is important to maintain our success for the next 90 years.


The Sr. Data Scientist will support the pricing process by:


1)      Creating perspectives on customers and product dynamics that inform strategic pricing decisions

2)      Developing and deploying statistical and machine learning models that improve the effectiveness of our pricing operations

3)      Measuring and identifying the drivers of pricing performance

You will report to the Senior Manager, Data Science.


This is a hybrid position and is onsite in Lake Forest or Chicago, IL 3 days a week.


You Will:

  • Work with the pricing team to understand the problem space, identify the opportunities, and translate pricing 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 pricing models appropriate for solving different business problems
  • Design and conduct pricing experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations
  • Conduct exploratory data analysis and apply deep business/pricing knowledge to customer and marketplace data to uncover new pricing insights
  • Create and present the materials necessary to communicate the results of analytical work and associated recommendations and influence the use of analytical recommendations
  • Use your experience on Grainger’s business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market to inform analytical pricing decisions and recommendations
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
  • Create the code to support large-scale data analyses, model development, model validation and deployment
  • Assist junior team members in developing new skills and knowledge


You Have:

  • 4+ years of experience in analytics and data science roles
  • BS, MS, or PhD in a technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering
  • Experience in Pricing Analytics or Data Science
  • Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
  • Experience with one or more of the following programming languages: Python, R, SPSS, or SAS
  • Proficiency with extraction and manipulation of very large structured and unstructured datasets
  • Proficiency with data visualization techniques
  • Proficiency with multi-variate linear regression, logistic regression, and time series modeling
  • Proficiency with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
  • Proficiency with clustering and dimension reduction techniques
  • Experience with classification, gradient-boosting, and natural language processing algorithms
  • Experience leveraging cloud-based machine learning resources such as those from AWS
  • Demonstrated ability to translate analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences
  • Demonstrated ability to collaborate with business partners and colleagues


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.