Digital Personalization Analytics Expert (Remote)

Kohl's; Menomonee Falls (WI); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Kohl's is seeking a Data Scientist to enhance digital experiences through advanced analytics and data-driven strategies. The ideal candidate will have at least 5 years of experience in data science, a Bachelor's degree in a quantitative field, and proficiency in tools like Python and SQL. Responsibilities include leading data initiatives, optimizing customer engagement, and mentoring junior team members. This position allows for hybrid work, with an onsite requirement in Menomonee Falls, WI from Monday to Thursday.

Qualifications

• 5+ years of data science experience or 2+ years with a Master’s degree.
• Expertise in machine learning and statistical optimization methods.
• Experience with programming and analytics tools.

Responsibilities

• Optimize digital customer engagement through data and analytics.
• Lead data science initiatives from analysis to deployment.
• Mentor junior data scientists and promote best practices.

Skills

Machine learning algorithms

Data visualization tools

Problem-solving skills

Data analysis

Statistical methods

Education

Bachelor's degree in Data Science or related field

Master's degree or Ph.D. (preferred)

Tools

Python

R

SQL

GCP

Spark

Tableau

Job description

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

Required

What Skills You Have

• 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