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Remote Data Scientist Risk Jobs in Milwaukee, WI

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

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 ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Previous experience as a data scientist, developer, or technical expert. * Demonstrable experience ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Previous experience as a data scientist, developer, or technical expert. * Demonstrable experience ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Previous experience as a data scientist, developer, or technical expert. * Demonstrable experience ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

KOHLS

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 ...

Relativity

Principal Applied Scientist

Milwaukee, WI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products What Skills You Have Required * 4+ years of experience in software ...

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$36.9K

$120.9K

$193.6K

How much do remote data scientist risk jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data scientist risk in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.
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Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Milwaukee, WI as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 8% Part Time, and 8% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $120,927 per year, or $58.1 per hour.
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 22 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th 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

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