Senior Data Scientist

Work Location Type: Hybrid About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit W.W. Grainger, Inc. is seeking a Senior Data Scientist in Lake Forest, IL with the following requirements: Bachelor’s degree in Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering or related field plus 3 years of related experience. Will accept any level of experience in the following skills: Build and execute complex queries to pull data from SQL databases; Create python scripts to identify patterns, trends and relationships within the data; Perform exploratory and statistical analysis to generate insights for management teams; Create predictive models to improve operational efficiency, enhance cost savings and reduced human error (Python, R, SPSS); Research alternative development methodologies and make recommendations for team improvement; Build dashboards in visualization tools (Tableau) to support ad-hoc data requests and data analysis to monitor business health; Use Natural Language processing to summarize notes and gain insight into hidden trends; Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL); Knowledge of 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 clustering and dimension reduction techniques; Knowledge of classification, gradient-boosting, and natural language processing algorithms; Proficiency with statistical design of experiments, outlier detection methods, and statistical hypothesis testing; Experience leveraging cloud-based machine learning resources such as those from AWS; Proficiency with Machine Learning techniques like multi-variate linear regression, logistic regression, time series modeling, clustering and dimension reduction, classification, gradient-boosting; 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. Must live within normal commuting distance of the worksite. Up to 70% remote work allowed. Compensation: The anticipated base pay range for this position is $103,600 - $172,600 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Rewards and Benefits: To learn about Grainger’s benefits, please visit: Please submit resume to reference job # 333116. PERM-KS #LI-DNI #IN-DNI We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work 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, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.