Supply Chain Advanced Analytics Co-op
1 month ago
Work Location Type: Hybrid
As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.
Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.
Position Details:
Grainger's inventory planning team manages over 10 million SKU's and $1 billion in inventory across 500 DC's and branches in North America. We’re looking for Co-op students to join our Inventory Optimization and Advanced Analytics team to help us make better decisions across the supply chain. These analytics-based decisions decide where, when and how much inventory is placed to keep customers happy.
Below are a few sample projects you could work on:
- Measure variation in the supply chain and develop solutions to deliver market-leading service levels
- Build and deploy a prediction model that identifies drivers of excess inventory
- Forecast supplier purchase order lead times with prediction intervals
- Create an optimization model that prioritizes what we buy from a supplier, while ensuring the total amount purchased fits within a truckload space constraint
Our co-ops are highly collaborative and focused on supporting your growth through impactful projects.
The co-op is paid and free housing will be provided near Lake Forest, IL for eligible candidates.
You Will:
Develop your skillset using industry leading analytics tools:
- Accessing data Snowflake and S3
- Transforming data using R, Python or Julia
- Deploy models and solutions using Kubernetes
You Have:
- Minimum cumulative GPA of 3.0
- Expected graduate date: December 2023 – June 2024
- No visa sponsorships now or in the future
- Currently enrolled in a college or University, working towards a bachelor's or master’s degree in Supply Chain Management, Operations Management, Industrial Engineering, Business, Business Analytics, Marketing, Economics, Mathematics, Statistics or related majors
#LI-SM2
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.
We are committed to fostering an inclusive, accessible 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. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.
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