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Digital Personalization Analytics Expert (Remote)Kohl's • United States
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Digital Personalization Analytics Expert (Remote)

Kohl's
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

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 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
  • United States

Sprachkenntnisse

  • English
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