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Manager, Data Science (Personalization & Recommendation Systems) (Remote)

Remote in Menomonee Falls, WI, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Decision-making
Data Analysis
Product Engineering
Design Of Experiments
Continuous Improvement
Return On Investment
Transformer
Learning To Rank
GPU
Real-time
Neural Network
Art
Algorithms
Machine Learning (ML)
Optimization
Programming Languages
Cloud Computing
Python
R
Apache Spark
SQL
Google Cloud Platform
Google Cloud
Conflict Resolution
Problem Solving
Product Development
Computer Science
Statistics
Applied Mathematics
Data Science
Analytics
Retail
Marketing
Mathematics
Computer Operation
Scheduling
Leadership
Training
Management

Decision-making
Data Analysis
Product Engineering
Design Of Experiments
Continuous Improvement
Return On Investment
Transformer
Learning To Rank
GPU
Real-time
Neural Network
Art
Algorithms
Machine Learning (ML)
Optimization
Programming Languages
Cloud Computing
Python
R
Apache Spark
SQL
Google Cloud Platform
Google Cloud
Conflict Resolution
Problem Solving
Product Development
Computer Science
Statistics
Applied Mathematics
Data Science
Analytics
Retail
Marketing
Mathematics
Computer Operation
Scheduling
Leadership
Training
Management

Summary

Role Specific Information

Job Description

About the Role

As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.

What You'll Do

Attract, retain, develop, manage, coach and assess data scientists in a balanced team
Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives
Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs
Oversee the design of experiments that answer targeted questions
Identify and drive continuous improvement of key business metrics within assigned team
Translate data science outputs into business outcomes and value delivered
Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment
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 personalization & 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

Expertise in developing and deploying state-of-the-art algorithms using machine learning and 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 such as Python, R, Spark, SQL, Google Cloud Platform, etc.
Strong problem-solving skills with an emphasis on product development
Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results
Proven success guiding teams through unstructured technical problems
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
5+ years (or 2+ years with a Master's degree) of progressively complex data science experience
2+ years of managerial or leadership experience in data science or analytics organizations

Preferred

Master's degree and/or Ph.D.
Retail experience
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 give direction and 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL102115
Position Id: 51600887d172ec7fb6ab5a72072fafbf
Posted 8 hours ago

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