Data Scientist

The Data Scientist plays a pivotal role in advancing Grainger’s strategic objectives by leveraging machine learning and statistical analysis to uncover insights that drive business value and fuel bottom-line growth. As part of the Finance organization, you will generate high-quality, data-driven insights that inform critical decisions and tell compelling stories behind the numbers. You’ll challenge the status quo, embrace complex problems, think big, and pursue innovative solutions that support Grainger’s mission to keep our customers' operations running and their people safe. This position must be located in Lake Forest, IL or downtown Chicago office requring 2-3 days per week in the office.

You Will

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

You Have

• Bachelor's Degree Data Science, Statistics, Mathematics, Computer Science, or other quantitative field. Required
• Master’s Degree Data Science, Statistics, Mathematics, Computer Science, or other quantitative field. Preferred.
• 2+ years experience in specialized research, such as informatics, data collection, scientific research and research equipment. Required
• Proficiency in databases such as Teradata, Snowflake or Oracle and querying languages (e.g. SQL)
• Experienced with at least one data science programming languages (e.g., Python, R) and working with structured and unstructured datasets.
• Experience with machine learning techniques such as classification, clustering, dimension reduction, regression, NLP algorithms, and time series modeling.
• Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing.

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.