Data Scientist

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.

Requirements

• 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.

Benefits

• Medical, dental, vision, and life insurance plans
• 18 paid time off (PTO) days annually
• 6% company contribution to a 401(k) Retirement Savings Plan
• Employee discounts
• Tuition reimbursement
• Student loan refinancing
• Free access to financial counseling, education, and tools
• Maternity support programs
• Nursing benefits
• Up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents

Tagged as: Data Analysis, Python, SQL