Data Engineer - Machine Learning
- Location HOBOKEN, NJ
- Department Technology
- Team Engineering
- Employment Type -
- Position -
- Requisition GH1973650
What you'll do at
The Inventory team @WalmartLabs in Hoboken, NJ is dedicated to the mission of creating the best user experience for millions of customers. This team is responsible for all aspects of inventory in stores, ecommerce, and distribution centers. It touches on aspects of physical movement of merchandise, data recording, archival systems, algorithms for replenishment, and website visibility/availability. There are countless opportunities where machine learning can have an impact in being smarter, simpler, and reactive. The end results being a better user experience, and cost efficiencies.
Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers. Data must be pulled from many archival systems and stitched together. No two stores are the same, with variability in supply/demand patterns, and service from distribution centers. We seek solutions to problems consisting of 30+million products, across 5000+ stores. As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning.
Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey!
Predict item availability in stores for online orders
Entire lifecycle of product development from research support to production deployment, monitoring, evaluation, and documentation.
Apply machine learning and optimization algorithms to maximize the efficiency of our business and minimize risks.
Build, validate, test and deploy predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
Bachelors and 2+ years of experience or Masters degree and 1+ years of experience
- A deep understanding of machine learning and interest in applying it at scale.
Experience with data cleaning, preparation, and feature building and selection techniques.
Experience working with large data sets to solve problems.
Effective communication, interpersonal and teamwork skills.
Ability to handle multiple concurrent projects while working independently and in teams.
Ability to work in a fast-paced and deadline driven environment.
- Experience in hierarchical models, random effect models, and online learning
Experience and proficiency with Scala
- Experience and proficiency with Spark