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At Home Data Scientist Risk Jobs in Brookfield, WI

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and ... Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION:

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy ...

US Bank

Senior Data Scientist

Brookfield, WI

$132K - $155K/yr

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... Responsible for big data/analytics projects that gather and integrate large volumes of data.

Pwc

AI & GenAI Data Scientist-Director

Milwaukee, WI · On-site

$155K - $410K/yr

... solutions at scale. As a Director, you will set the strategic direction and lead business ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy ...

Varsity Tutors

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching the full data science workflow from question formulation through insight ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Brookfield, WI

At Home Data Scientist Risk information

See Brookfield, WI salary details

$35.5K

$116.2K

$186K

How much do at home data scientist risk jobs pay per year?

As of Aug 7, 2026, the average yearly pay for at home data scientist risk in Brookfield, WI is $116,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What cities near Brookfield, WI are hiring for At Home Data Scientist Risk jobs? Cities near Brookfield, WI with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you
Infographic showing various At Home Data Scientist Risk job openings in Brookfield, WI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $116,194 per year, or $55.9 per hour.

Senior Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted yesterday

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,461 frontline employees who took The Breakroom Quiz

13th 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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