Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

GPU Optimization Recommender Systems Google Cloud Platform (GCP) Business Intelligence Tools Python (Programming Language) A/B Testing Apache Spark SQL (Programming Language) Statistical Modeling Collaborative Filtering +11 more

Other Skills

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Communication With Candidates
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Communication
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Teamwork
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Mentorship
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Problem Solving

Roles & Responsibilities

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; proficient in Python, R, Spark, SQL, GCP
Experience with recommendation systems, search, or ranking problems at scale; knowledge of transformer models/LLMs in production; vector search/ANN

Requirements:

Lead exploratory data analysis to derive actionable insights
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Develop, implement, and optimize statistical and machine learning models at scale; fine-tune and ensure scalability
Design experiments to answer targeted questions and drive continuous improvement of key business metrics

Kohl's

Retail (Super / Hypermarket)

About Kohl's

At Kohl’s, our mission is to inspire and empower families to lead fulfilled lives. And there’s no more rewarding job than that. It’s not just about selling things; it’s about letting customers know that the things that make their lives better are within their reach. WHO WE ARE Kohl’s is proud of be a member of the community. And being a part of a community means we have responsibilities to fulfill. We meet these responsibilities in various ways, starting with providing investors with accurate, timely and helpful information about our company. We focus a lot of time, energy and money on giving back to our communities through our many Kohl’s Cares programs, including our Kohl’s Volunteer Program for eligible nonprofit organizations. We also believe being a responsible member of a community means protecting and conserving the environment by seeking innovative solutions that encourage long-term stability. Responsibility to our investors, communities and environment—it’s all a part of what makes us Kohl’s.

Company type: XLarge

Industry: Retail (Super / Hypermarket)

Founded: 2018

Company size: 10001

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Job description

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

Skills & Experience

Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products
Experience in developing sequential, transformer models and utilizing LLM models in production
Understanding of collaborative filtering and learning-to-rank methods
Experience optimizing models for GPU / distributed training
Familiarity with large-scale datasets and production ML systems
Exposure to real-time or low-latency serving environments
Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
Experience with delivering end to end customized ML models in production environment

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