Senior Data Scientist (Remote)

Posted Yesterday
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Hiring Remotely in 0900, Wellsford, Auckland, NZL
In-Office or Remote
Senior level
eCommerce • Retail
The Role
Lead data science initiatives involving exploratory analysis, statistical and machine learning model development, experimentation, optimization, and business metric improvement. Design and deploy personalization, recommendation, and ranking systems across digital channels, addressing cold-start and large-catalog challenges. Collaborate with engineering and stakeholders to translate business needs into scalable technical solutions, drive adoption of data products, and mentor junior data scientists.
Summary Generated by Built In

Role Specific Information

Job Description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.


What You’ll Do

  • Lead exploratory data analysis to cull actionable insights
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Develop and implement statistical and machine learning models 
  • Fine-tune, optimize and ensure the scalability of models and algorithms
  • Aid in designing experiments to answer targeted questions
  • Identify and drive continuous improvement of key business metrics in an assigned business functional area
  • Drive adoption and usage of data science products and models
  • Translate data science outputs into business outcomes and value delivered
  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
  • Additional tasks may be assigned

Addendum


PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)
  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)
  • Develop multi-stage ranking approaches, including candidate generation and re-ranking
  • Address cold-start and long-tail challenges in large product catalogs
  • Partner with engineering to support real-time personalization and scalable deployment

What Skills You Have

Required

  • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
  • 3+ years of progressively complex data science experience
  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 
  • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)
  • Strong problem-solving skills with an emphasis on product development
  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly
  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.
  • Retail and Logistics experience
  • Supply chain management
  • Marketing models

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 at any 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 comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to 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

Skills Required

  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or an equivalent quantitative field
  • 3+ years of progressively complex data science experience
  • Extensive experience developing and deploying advanced machine learning, statistical, and optimization algorithms
  • Expertise with modern analytics tools, programming languages, and cloud platforms, including Python, R, Spark, SQL, and GCP
  • Strong problem-solving skills with an emphasis on product development
  • Experience designing rapid experiments, testing strategies, and iterating quickly
  • Effective communication and collaboration skills at all levels
  • Master's degree and/or Ph.D.
  • Retail and logistics experience
  • Supply chain management experience
  • Marketing models experience

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
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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