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Data Scientist Machine Learning Jobs in Wisconsin

The Home Depot

Senior Data Scientist

Milwaukee, WI · On-site

Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... A Data Science Lead should have excellent communication skills, including the ability to ...

Milwaukee Tool

Sr Machine Learning Engineer

Milwaukee, WI · On-site

$103K - $141.40K/yr

Completed course work or specialization in Machine Learning and/or Data Science using one or more deep learning frameworks (PyTorch, TensorFlow, Keras, etc) * Proficiency in big data transformation ...

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

The Home Depot

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Build, train, and evaluate machine learning models that support business decisions and product ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Wisconsin

Wisconsin DHS-Embedded Data Scientist I

Madison, WI · On-site +1

$75K - $100K/yr

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis * Composes and assembles reproducible workflows and reports to clearly articulate patterns ...

New

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Data Scientist II Job Summary: The Office of Informatics and Information Technology (IIT) is ... analysis, machine learning, and data mining * Organizes and automates project steps for data ...

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Data Scientist Machine Learning information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data scientist machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for data scientist machine learning in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
More about Data Scientist Machine Learning jobs
What are the most commonly searched types of Data Scientist Machine Learning jobs in Wisconsin? The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:
What are popular job titles related to Data Scientist Machine Learning jobs in Wisconsin? For Data Scientist Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Wisconsin look for? The top searched job categories for Data Scientist Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Scientist Machine Learning jobs? Cities in Wisconsin with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Wisconsin as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Senior Data Scientist

West Bend Mutual Insurance Company

West Bend, WI

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

West Bend Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 259 rated insurance

Job description

Senior Data Scientist
Job Locations US-Remote
ID 2026-3518
Category Data
Full-Time
Remote/Hybrid Remote
Company Overview

Recognized as aMilwaukee Journal SentinelTop Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary
The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.
Work Location

This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Responsibilities & Qualifications
Key Responsibilities
    Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
  • Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
  • Translate business and strategic objectives into clear analytics, reporting, and data requirements
  • Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
  • Document, present, and explain modeling methodologies and results for business partners and regulatory review
  • Identify, evaluate, and integrate internal and external data sources to meet business needs
  • Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
  • Promote analytics best practices and provide consultation on data-driven initiatives
  • Evaluate third-party data, models, and analytical tools in partnership with vendors
Required / Preferred Qualifications
  • 6+ years of advanced analytics, data science, or predictive modeling experience
  • 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
  • Strong knowledge of P&C insurance data, data sources, and business processes
  • Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
  • Experience working with large datasets using SQL, Spark, or cloud-based data platforms
  • Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
  • Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
  • Self-motivated, analytical, and collaborative mindset
Education & Credentials (Preferred)
  • Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field
  • P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA
Why Join Us
  • Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions
  • Collaborate with experienced analytics and insurance professionals
  • Flexible work options (remote, hybrid, or office-based depending on location)
  • Competitive compensation, benefits, and professional development opportunities

#LI-BW1

Salary Statement

The salary range for this position is $140,000-$180,000.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.

Benefits

West Bend offers a comprehensive benefit plan including but not limited to:

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance
  • West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.

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