Digital Personalization Analytics Expert (Remote)
KOHLS•Menomonee Falls, WI
•Hybrid
About The Position
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.
Requirements
- 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.
Nice To Haves
- Master's degree and/or Ph.D.
- Digital / Ecommerce data science experience
- Retail and Marketing experience
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
