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Remote Disney Data Science Jobs in Wisconsin (NOW HIRING)

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 ...

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience. * 7+ years of experience in data architecture, data ...

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Remote Disney Data Science information

What is the difference between Remote Disney Data Science vs Remote Disney Data Analyst?

AspectRemote Disney Data ScienceRemote Disney Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RDegree in Business, Economics, or related field; proficiency in data visualization and basic analytics tools
Work EnvironmentCollaborative remote teams focused on advanced data modeling and predictive analyticsRemote roles analyzing data trends, generating reports, and supporting decision-making
Employer & Industry UsageUsed in entertainment, media, and theme park operations within DisneyCommon in marketing, finance, and operations departments across Disney

Remote Disney Data Science involves developing complex models and algorithms to extract insights, requiring technical expertise. In contrast, Remote Disney Data Analysts focus on interpreting data, creating reports, and supporting strategic decisions. Both roles are essential but differ in technical depth and responsibilities.

What are popular job titles related to Remote Disney Data Science jobs in Wisconsin? For Remote Disney Data Science jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Disney Data Science jobs? Cities in Wisconsin with the most Remote Disney Data Science job openings:
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 3 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,435 frontline employees who took The Breakroom Quiz

12th of 21 rated department stores


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


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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