Digital Personalization Analytics Expert (Remote)

Data Science Role

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 youwill 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

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the "What You'll Do" Section
• Ability to maintain prompt and regular attendance as set by the company
• Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week
• Ability to comply with dress code requirements
• Ability to learn and comply with all company policies, procedures, standards and guidelines
• Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel
• Ability to work as part of a team and interact effectively and appropriately with others
• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
• Ability to satisfactorily complete company training programs
• Perform work in accordance with the Physical/Cognitive Requirements section
• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
• Ability to plan, prioritize and monitor activities across business units
• Ability to complete or oversee the completion of assigned projects in a timely manner
• Ability to comply with health and safety standards