1

Data Science Product Manager Jobs in Wisconsin (NOW HIRING)

Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and ... Master-level data science industry knowledge and knowledge of the insurance marketplace * Strong ...

Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and ... Master-level data science industry knowledge and knowledge of the insurance marketplace * Strong ...

Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and ... Master-level data science industry knowledge and knowledge of the insurance marketplace * Strong ...

Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and ... Master-level data science industry knowledge and knowledge of the insurance marketplace * Strong ...

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

WI · On-site

$140 - $190/hr

Understands business needs and translates them into actionable data science projects ... Partners with clinicians, researchers, operational teams, and product managers to identify critical ...

Showing results 21-40

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 Aug 10, 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.

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.

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.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
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:
Infographic showing various Data Science Product Manager job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $160,896 per year, or $77.4 per hour.

Senior Revenue Management Data Scientist

ABB

New Berlin, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


ABB Group rating

8.4

Company rating: 8.4 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

97th of 487 rated machine equipment manufacturers


Job description

At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Pricing & Quotations Manager
The Senior Revenue Management Data Scientist will transform pricing, quotation, customer, product, and market data into actionable intelligence that improves profitability, quote quality, sales effectiveness, and pricing discipline. This role combines advanced analytics, statistical modeling, machine learning, business acumen, and commercial pricing expertise to support data-driven decision-making across pricing, quotations, sales, finance, product management, and pre-sales teams.In addition to advanced pricing analytics and data science, this role will act as a technical innovator for the Pricing & Quotations organization by developing automation solutions, internal applications, and AI-enabled tools that improve productivity, decision quality, and business scalability.
This position is ideal for someone who can operate beyond dashboards - someone who can identify patterns in complex data, build predictive and prescriptive models, recommend pricing actions, and translate technical insights into practical business decisions. The role will help evolve the pricing function from reactive analysis and transactional support toward proactive revenue intelligence, margin optimization, and strategic deal enablement.
The work model for the role is: hybrid in New Berlin, WI.
This role is contributing to the Motion Drive Products business line in the USA. Main stakeholders are Pricing, Revenue Management, Product Management, and Sales.
Your role and responsibilities:
  • Developing data-driven pricing models to identify margin improvement opportunities, price leakage, discounting trends, and customer/product profitability.
  • Partnering with quotation, sales, application engineering, and commercial operations teams to improve quote strategy and pre-sales decision quality.
  • Developing automated analytics workflows and reusable data models that reduce manual analysis and improve speed-to-insight.
  • Monitoring competitor pricing, market trends, customer buying behavior, inflationary impacts, and industry benchmarks.
  • Presenting complex analytical findings in a clear, practical, and commercially relevant way to non-technical stakeholders.
  • Identifying opportunities to improve pricing governance, quote approval processes, discounting discipline, and revenue management practices.
  • Supporting continuous improvement initiatives that reduce manual work, improve accuracy, and increase pricing team scalability.
  • Developing insights that help the organization understand competitive positioning, market sensitivity, and product/category-level pricing opportunities.

Our Team Dynamics
Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.
Qualifications for the role:
  • Bachelor's degree in Data Science, Statistics, Economics, Finance, Mathematics, Business Analytics, Engineering, Computer Science, or a related field and 8+ years of experience in data science, advanced analytics, pricing analytics, revenue management, commercial analytics, financial analytics, or a similar analytical role.
  • Experience analyzing large, complex, and imperfect business datasets.
  • Strong understanding of statistical analysis, predictive modeling, forecasting, segmentation, and optimization techniques.
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Ability to translate complex data into clear recommendations for business stakeholders.
  • Strong communication skills with the ability to influence sales, finance, product, operations, and leadership audiences.
  • High curiosity, strong problem-solving ability, and comfort working in ambiguous commercial environments.
  • Candidates must already have work authorization that would permit them to work for ABB in the US.

Preferred Qualifications:
  • Previous experience in pricing and quotations strategies, metrics, KPIs and other related projects and tools.
  • Experience owning, building, and improving data analytics platform /product.

More about us
ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety.
What's in it for you
We give you the space to lead, the support to grow, and the chance to make a difference. Whether you're solving problems, building something new, or helping others succeed, your impact is real. You'll be part of a team that values your voice and celebrates your progress.
ABB is an Equal Employment Opportunity and Affirmative Action employer for protected Veterans and Individuals with Disabilities at ABB.
All qualified applicants will receive consideration for employment without regard to their- sex (gender identity, gender expression, sexual orientation), marital status, citizenship, age, race and ethnicity, inclusive of traits historically associated with race or ethnicity, including but not limited to hair texture and protective hairstyles, color, religious creed, national origin, pregnancy, physical or mental disability, genetic information, protected Veteran status, or any other characteristic protected by federal and state law.
For more information regarding your (EEO) rights as an applicant, please visit the following websites: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
As an Equal Employment Opportunity and Affirmative Action Employer for Protected Veterans and Individuals with Disabilities, applicants may request to review the plan of a particular ABB facility between the hours of 9:00 A.M. - 5:00 P.M. EST Monday through Friday by contacting an ABB HR Representative at 1-888-694-7762.
Protected Veterans and Individuals with Disabilities may request a reasonable accommodation if you are unable or limited in your ability to use or access ABB's career site as a result of your disability. You may request reasonable accommodations by calling an ABB HR Representative at 1-888-694-7762 or by sending an email to US-AskHR@abb.com. Resumes and applications will not be accepted in this manner.
ABB Benefit Summary for eligible US employees
[excludes ABB E-mobility, Athens union, Puerto Rico]
Go to MyBenefitsABB.com and click on "Candidate/Guest" to learn more
Health, Life & Disability
  • Choice between two medical plan options: A PPO plan called the Copay Plan OR a High Deductible Health Plan (with a Health Savings Account) called the High Deductible Plan.
  • Choice between two dental plan options: Core and Core Plus
  • Vision benefit
  • Company paid life insurance (2X base pay)
  • Company paid AD&D (1X base pay)
  • Voluntary life and AD&D - 100% employee paid up to maximums
  • Short Term Disability - up to 26 weeks - Company paid
  • Long Term Disability - 60% of pay - Company paid. Ability to "buy-up" to 66 2/3% of pay.
  • Supplemental benefits - 100% employee paid (Accident insurance, hospital indemnity, critical illness, pet insurance
  • Paid Parental Leave
  • Employee Assistance Program
  • Health Advocate support resources for mental/behavioral health, general health navigation and virtual health, and infertility/adoption
  • Employee discount program

Retirement
  • 401k Savings Plan with Company Contributions
  • Employee Stock Acquisition Plan (ESAP)

Time off
ABB provides 11 paid holidays. Salaried exempt positions are provided vacation under a permissive time away policy.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

What ABB Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ABB Group logo

About ABB Group

Sourced by ZipRecruiter

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Cary, NC, US