W.W. Grainger-posted 4 months ago
Intern
Lake Forest, IL
Merchant Wholesalers, Durable Goods

Grainger is a leader in data-driven culture. Our Analytics & Data team operates as a center of excellence helping leaders and teams across all areas of the business make decisions based on informed insights that enhance our customer experience and improve performance. At Grainger, you will work with outstanding data scientists and AI experts with very diverse backgrounds and strong technical expertise. Our team's mission is to use multiple different technology platforms to build data-driven solutions and capabilities using machine learning and big data with a focus on Predictive Analytics, Deep Learning, Computer Vision, Natural Language Processing, and other relevant areas. As a Data Science Intern, you will apply these techniques using a wealth of our data to develop insights which inform and influence customer-facing investment decisions while also learning about the role an analytics department plays within an organization. From optimizing marketing investment returns, to sales force strategy, and real-time product recommendations, the work from this position has a meaningful effect on our organization through the development of work that influences overall company strategy and enhances the success of tactical projects.

  • Plan, execute, and communicate the results of important analyses focused on several of our essential investments
  • Use market, customer, and other information to identify patterns and insights which are beneficial to our company
  • Use analytical techniques to measure results of current business activities and project future results based on business and leadership decisions
  • Research and recommend creative solutions to a wide array of business problems using statistics and mathematics
  • Pursuing a degree in Analytics, Predictive Analytics, Data Science, Statistics, Economics, Mathematics, or related field
  • Master's degree is preferred
  • Expected graduation with a Bachelor's or Master's degree between Winter 2024 - Spring 2025
  • Cumulative GPA of 3.0 or higher
  • Knowledge of basic statistical methods
  • Experience with SPSS, R, SAS, Python, Spark, or other statistical programming language
  • Visualize data in R, Python, Tableau, or Excel (can perform complex functions)
  • Knowledge of SQL
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
  • 6 free sessions each year with a licensed therapist to support your emotional wellbeing
  • 18 paid time off (PTO) days annually for full-time employees
  • 6 company holidays per year
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents
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