1

Python Data Scientist Jobs in Wisconsin (NOW HIRING)

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

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 ...

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

WI · On-site

$120 - $180/hr

Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ... Python programming skills * Ability to evaluate emerging AI technologies and translate them into ...

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

WI · On-site

$120 - $160/hr

Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ... Python programming skills * Ability to evaluate emerging AI technologies and translate them into ...

Senior Data Scientist

Milwaukee, WI · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Science & Innovation Organization is building the analytical engine that powers our AI ... Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data ...

Senior Data Scientist

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Science & Innovation Organization is building the analytical engine that powers our AI ... Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data ...

Senior Data Scientist

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Science & Innovation Organization is building the analytical engine that powers our AI ... Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data ...

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... experience in Python Understanding of biopharmaceuticals process and related unit operations ...

WI · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

Yes) Job Summary The Data Scientist Team Lead leads a team of data scientists and analysts focusing ... Databricks * Python * SQL * Advanced statistical analysis * Machine learning * Emerging AI ...

Data Scientist Analyst

Waukesha, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Showing results 21-40

Python Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do python data scientist jobs pay per year?

As of Aug 19, 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.

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.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What cities in Wisconsin are hiring for Python Data Scientist jobs?

Cities in Wisconsin with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Full-time

Re-posted 19 days ago


Job description

Company Description

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.

Job Description

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago.

  • Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.

  • Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.

  • Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.

  • Improve operations by conducting systems analysis; recommending changes in policy and procedures.

  • Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.

  • Continuously build your knowledge by studying new scientific methodologies and techniques.

  • Play an active role in the product requirements process, giving feedback to product management when challenges arise.

Qualifications
  • MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.

  • 3-5 years of relevant professional experience, with demonstrated achievements.

  • Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

  • Experience using/implementing non-parametric regression such as  Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM

  • Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.

  • Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.

  • Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.

  • Programming capabilities including C++, Java, Python is a plus but not necessary.

Additional Information