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  • Business
  • Summer
  • Milipitas, CA
  • 2019

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About Kohl's: 

At Kohl’s, our mission is to inspire and empower families to lead fulfilled lives. And there’s no more rewarding job than that. Because it’s not just about selling things. It’s about letting customers know that the things that make their lives better are within their reach. We build great brands, launch new technologies to make shopping easier, contribute our time and dollars to improve the world we live in and dream up ways to empower our customers and Associates to create a life they love. Our Associates make a difference in the lives of our customers. Let us make a difference in yours. Welcome to Kohl’s.

Requirements/Necessary Skills for Recruitment: 


What you'll do:
- Solve and create data models and algorithms from huge volumes of data to be used in enterprise applications
- Develop solutions that have large real world impact on business and along the way become a leader in the space
- Scour through peer reviewed research to justify the approaches and communicate the benefits to stakeholders
- Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning
- Handle multi-terabyte data sets in scale up and scale out environments
- Understand business processes which create and consume data so as to be able to select best approaches, evaluate their performances and assess business relevance

Career Path:
Data Scientist Intern
Associate Data Scientist
Data Scientist
Senior Data Scientist
Staff Data Scientist
Data Science Manager

This is you:
- Undergraduate Junior, Masters Student, or PH.D student with on year of school remaining
- Bright self starter, driven to solve real world problems
- You recognize that data cleaning is an integral step in data science and can tease insights from real world scenarios through prototyping solutions quickly
- You can visualize data and present core insights in a clear and compelling way
- You know big data techniques (Hadoop, Spark)
- You have hands on experience with deep learning with areas of computer vision, natural language processing techniques, etc.
- Bonus points if you have experience with machine/deep learning software packages such as TensorFlow/MXNet/SparkMNL/R etc.

Intern Payment: 
Paid Internship
Hours Required: