Digital Personalization Analytics Expert (Remote)

Reposted 17 Hours Ago
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Hiring Remotely in 0900, Wellsford, Auckland, NZL
In-Office or Remote
Senior level
eCommerce • Retail
The Role
This role involves optimizing digital customer engagement through analytics, leading data science initiatives, and mentoring junior staff to enhance personalization strategies.
Summary Generated by Built In

Role Specific Information

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

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

  • Physical/Cognitive Requirements 

  • 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

Skills Required

  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or related field
  • 5+ years of data science experience
  • Expertise in machine learning and statistical methods
  • Proficient in Python, R, Spark, SQL, GCP
  • Strong problem-solving skills

Kohl's Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kohl's and has not been reviewed or approved by Kohl's.

  • Retirement Support Feedback suggests the 401(k) plan is a standout, offering a dollar‑for‑dollar company match up to 5% with contributions available from day one. Eligibility and vesting mechanics are presented as straightforward for eligible roles.
  • Parental & Family Support Paid parental leave includes 12–14 weeks for birthing parents and 6 weeks for other eligible parents. Feedback suggests this is a meaningful family‑support element within the package.
  • Wellbeing & Lifestyle Benefits The package includes a 15% everyday associate discount that can rise to 35% on select days, access to an Employee Assistance Program, and low‑ or no‑cost wellness centers in eligible locations. Feedback suggests these everyday perks add tangible value alongside core benefits.

Kohl's Insights

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The Company
HQ: Menomonee Falls, WI
0 Employees
Year Founded: 1962

What We Do

Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states Kohl's business is built on a solid foundation of more than 65 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohl's Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app. Our Vision: - The retailer of choice for the active and casual lifestyle - Destination for active and casual lifestyle as well as beauty for the entire family — from the most trusted brands, always delivering quality and discovery - Leading with loyalty and value through best-in-class rewards programs - Differentiated omnichannel experience — easy and inviting, no matter how our customer wants to shop

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