Digital Personalization Analytics Expert (Remote)

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl's customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You'll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master's degree) of progressively complex data science experience

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience


Remote

Skills:
Algorithms, Analysis Skills, Business Model, Cloud Computing, Computer Science, Cross-Functional, Data Analysis, Data Science, GCP (Good Clinical Practices), GitHub, LifeTime Value (LTV), Machine Learning, Mathematics, Model Validation, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, R Programming Language, SQL (Structured Query Language), Source Code/Configuration Management (SCM), Statistics, Team Player, Test Design, Testing, Work From Home, eCommerce


About the Company:
Kohl's Corp


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.

Company Size:
10,000 employees or more


Industry:
Retail


Founded:
1962


Website:


Back to blog