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Data Science Manager Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

Innovizant LLC

Data Scientist

Madison, WI

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

Next Gen Alloys

Data Scientist

Cudahy, WI · On-site

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

ATI

Data Scientist

Cudahy, WI

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

A Data Science Lead should have strong leadership skills, including the ability to manage a team of data scientists, provide mentorship and guidance, and foster a collaborative and innovative ...

The Home Depot

Senior Data Scientist

Milwaukee, WI · On-site

A Data Science Lead should have strong leadership skills, including the ability to manage a team of data scientists, provide mentorship and guidance, and foster a collaborative and innovative ...

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

Bachelor's or Master's degree in Industrial Engineering, Industrial Management, Operations Research, Data Analytics, Statistics, Economics, Computer Science, Business Administration, or a related ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

A Data Science Lead should have strong leadership skills, including the ability to manage a team of data scientists, provide mentorship and guidance, and foster a collaborative and innovative ...

ATI

Data Scientist

Cudahy, WI · On-site

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

Newance

Senior Data Scientist

Green Bay, WI · On-site

Forecasting model development and management * Ability to deploy developed models into a production system. * This individual will be considered a mentor to junior members of the Data Science Team ...

Amcor

R&D Senior Manager - Data Science

Neenah, WI · On-site

To learn more about playing for Team Amcor, visitwww.amcor.comILinkedInIGlassdoorIFacebook IYouTube The R&D Senior Manager - Data Science is a strategic leadership role responsible for advancing ...

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Data Science Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do data science manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Data Science Manager jobs in Wisconsin? For Data Science Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Wisconsin look for? The top searched job categories for Data Science Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Manager jobs? Cities in Wisconsin with the most Data Science Manager job openings:
Data Science Manager jobs near you
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Posted 22 days ago

Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com

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