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Data Science Product Manager Jobs in Wisconsin (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI · On-site

Requires excellent analytical, organization, project management, communication, presentation and ... Cross/multi-functional understanding of industry, company, and products to enable identification of ...

Soteria Reinsurance Ltd.

WI · On-site

$140 - $190/hr

... Management, AI/ML Engineering, and others. The role will focus on developing and evaluating ... The ideal candidate combines strong data science fundamentals with product instincts, technical ...

Realpage

WI · On-site

... Product Manager to own the data offerings built on a cloud-native platform for AI-driven multifamily real estate. You will lead a PM team, collaborate with engineering, data science, sales, and ...

Data Dimensions Pty Ltd

Product Manager

Janesville, WI · On-site

Conduct user research, analyze data, and gather feedback to identify pain points and opportunities ... Bachelor's degree in a STEM (Science, Technology, Engineering or Mathematics) or business-related ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... However, the biggest challenge during managing this data comes across in the terms of 'Value ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... However, the biggest challenge during managing this data comes across in the terms of 'Value ...

Michels

Staff Data Product Manager

Neenah, WI · On-site

Bachelor's degree in Business, Technology, Engineering, Computer Science, a quantitative field, or equivalent practical experience. * 7+ years of experience in data product management, guiding cross ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Wisconsin

Data Science Product Manager information

See Wisconsin salary details

$52K

$160.9K

$198.8K

How much do data science product manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science product manager in Wisconsin is $160,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $198,800.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Science Product Manager jobs in Wisconsin?

For Data Science Product Manager jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Product Manager jobs in Wisconsin look for?

The top searched job categories for Data Science Product Manager jobs in Wisconsin are:

Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $160,896 per year, or $77.4 per hour.

Data Science Analyst

Generac

Waukesha, WI • On-site

Full-time

Re-posted 28 days ago

Key responsibilities

  • Analyze structured and unstructured data using techniques such as statistical analysis, explanatory and predictive modeling, and data mining.

  • Develop and support data models, pipelines, and algorithms to produce data insights and support enterprise initiatives.

  • Assist in data preparation, cleaning, organizing, querying, merging, and extracting data across sources, and support end-users with documentation and process support.

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

359th of 499 rated machine equipment manufacturers

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.

The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.

*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*

Minimum Qualifications:

  • Bachelor Degree

  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:

  • Relational database experience & Experience query databases (ex: SQL, MySql).

  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).

  • Experience with statistical analysis languages (ex: R, Python, SQL).

  • Experience on using the cloud platform (ex Azure, AWS..)

  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:

  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Translating business requirements; informing data/information needs and data collection methods

  • Create custom data models & create pipelines and algorithms as needed & produce Data insights

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supporting end-users; and documenting processes and deliverables

  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:

  • Ability to write complex SQL queries, data visualization

  • Proficiency in database applications and MS Office with excellent Excel skills.

  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.

  • Ability to simplify complex findings to develop unique, practical solutions.

  • Able to understand various data structures and common methods in data transformation.

  • Excellent pattern recognition and predictive modeling skills.

  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.

  • Self-motivated and able to work with minimal direction

#LI-BB1

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

What Generac Power Systems employees say

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Hours and flexibility

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About Generac

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing and engine, turbine, and power transmission equipment manufacturing

Company size

1 - 10 Employees

Headquarters location

Eagle, WI, US

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