Must Haves:
- 4+ years of professional experience within Data Science
- Some data engineering experience, comfortable with creating pipelines
- Strong Databrick experience
- Basic Python/SQL Skills
- Previous experience working on supply chain focused projects
Plusses:
- Retail
Day to Day:
My client is hiring for a data scientist who also has some hands on skills with data engineering. They will be joining one of our large retail clients located in Grand Rapids. This role will Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data. Several projects they could jump into is a retail media marketing project along with a retail media project both centered around marketing and media initiatives.
Project focus:
- Demand Forecasting — all the way to delivery
- Product or Material Flow
- Shipment, Inventory, Allocations
- Inventory optimization
- inventory placement
- fullfillment optimization
- safety stock optimization
- inventory control