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Python Data Scientist Jobs in Wisconsin (NOW HIRING)

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site

About the Role In this role you will work with a data science team and cross-functional partners to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

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 ... Experience writing Python code to manipulate and analyze datasets * Experience developing analytics ...

New

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Wisconsin

Python Data Scientist information

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$37.9K

$123.9K

$198.3K

How much do python data scientist jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python data scientist 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Wisconsin? For Python Data Scientist jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Wisconsin look for? The top searched job categories for Python Data Scientist jobs in Wisconsin are:
What cities in Wisconsin are hiring for Python Data Scientist jobs? Cities in Wisconsin with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.
Data Scientist

Data Scientist

State of Wisconsin Investment Board

Madison, WI • On-site

Full-time

Re-posted 6 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.

The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.


Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.

Job Description:

About the Team

Data Services & Engineering Teams at SWIBsupports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectivelyleveragetechnology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.

Position Overview

Essential activities:

  • Lead the design, development, validation, and deployment of advanced analytics, AI,and machine learning solutions that enable data-driven investment decision-making.

  • Own the technical approach for analytics products end-to-end: problem framing, data requirements, modeling, evaluation, deployment, monitoring, and ongoing iteration.

  • Architect and deploy solutions using GitLab (merge requests, CI/CD pipelines, automated testing, release management) and Terraform (infrastructure as code),establishingstrong engineering practices and reproducibility.

  • Design, evaluate, and deploy AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.

  • Implement data quality,validation, and AI evaluationframeworks;define reliability metrics, testing protocols, andmonitoring controls ensuringoutputs areaccurate, traceable,andexplainable.

  • Design and develop analyticsapplications and internal tools, includinglightweightfront-end interfaces(Power BI,Streamlit,React,orsimilar tools) to communicate findings and drive adoption;apply UI/UX principles ensuring usability, clarity, and intuitive workflows;craft clear narratives about assumptions, limitations, and implications.

  • Deploy analytics solutions in cloud environments (Azure or AWS), partnering with engineering/security to ensure secure, scalable, cost-aware deployments.

  • Utilize data warehousing technologies (e.g., Snowflake) to support analytics initiatives; collaborate on data modeling and performant query patterns.

  • Communicate complex concepts clearly to technical and non-technical stakeholders; translate investment needs into analyticalroadmapsand measurable outcomes.

  • Serve as a liaison across investment teams and partner functions (IT, Operations, Legal, HR, Strategic Planning, etc.) to support change management and adoption of analytics solutions.

  • Act as a senior team contributor: provide design input, conduct code and analysis reviews, share patterns and best practices, and coach junior staff through pairing, feedback, and knowledge sharing.

The ideal candidate:

  • Bachelor's degreerequired; advanced degree preferred in finance, business, engineering, computer science, computational economics, math, data science, or related discipline.

  • Experience in investment management, quantitative finance, and technology; progress toward or completion of the CFA designation is preferred.

  • 5+ years of experience in data science, analytics, quantitative research, or similar roles.

  • 2+ years of experiencedesigningand deployingAI-enabled analyticalsolutions measuring output quality, detectinghallucinations, and ensuringreliability for decision-making.

  • Strongproficiencyin Python and SQL for advanced analytics, data engineering, and model development in production contexts.

  • Proven experience deploying and operating production code using GitLab, including CI/CD, merge request workflows, automated testing, and release management.

  • Experience using Terraform to provision and manage cloud infrastructure as code.

  • Experience building and deploying ML models using modern techniques (regression, classification, clustering, time series/forecasting) with strong evaluation practices and sound statistical reasoning.

  • Experience implementing data quality frameworks, validation controls, and reliability metrics/processes for analytical outputs and reports.

  • Strong experience with cloud platforms (Azure or AWS) for data storage/processing and deploying analytics solutions; familiarity with security and operational considerations.

  • Experience with data warehousing platforms (e.g., Snowflake) to support scalable analytics initiatives.

  • Excellent communication skills with the ability to influence decisions through clear storytelling and stakeholder partnership.

  • Demonstrated ability to collaborate effectively, coach junior staff, and elevate team standards through reviews, reusable patterns, and documentation.

  • Strong workethic, attention to detail, and commitment to disciplined delivery (documentation, Jira ticketing, and best practices).

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment
The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

Apply