Digital Personalization Analytics Expert (Remote)

Kohl's•Tallahassee, FL

9d•Remote

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. 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.

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.
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
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

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