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Python Data Science Jobs in Wisconsin (NOW HIRING)

Farm Systems

Dairy Data Scientist

Watertown, WI

... science. * Experience using data and statistics to answer scientific or operational questions. * Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar ...

FIS

Data Scientist Lead

Milwaukee, WI · On-site

... data science solutions within the Payments, Banking, or Financial Services industry. * Strong proficiency in Python and SQL; experience with big data technologies such as Spark, PySpark, a plus.

Worldpay, Inc.

Data Scientist Lead

Milwaukee, WI · On-site

... data science solutions within the Payments, Banking, or Financial Services industry. * Strong proficiency in Python and SQL; experience with big data technologies such as Spark, PySpark, a plus.

Qualysoft

$52.75 - $72.75/hr

We are looking for an experienced Python developer with a strong analytical mindset who can design ... You will work closely with AI architects, data scientists, software developers, business ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will leverage SQL, Python, dashboarding and GIS tools to build scalable data solutions, create engaging visualizations and maps, and enable efficient data access for research ...

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn). * Experience with data visualization tools and techniques. * Understanding of optimization algorithms (linear programming ...

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How much do python data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for python data science in Wisconsin is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What are the most commonly searched types of Python Data Science jobs in Wisconsin?

The most popular types of Python Data Science jobs in Wisconsin are:

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

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

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

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

Python Data Science jobs near you
Infographic showing various Python Data Science 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 $123,073 per year, or $59.2 per hour.

Dairy Data Scientist

Farm Systems

Watertown, WI

Full-time

Posted 8 days ago

Job description

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making?

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of dairy production and the ability to apply statistics, analytics, and programming to real-world dairy challenges.

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into meaningful insights for the dairy industry.

What You'll Do

  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.

  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.

  • Support dairy research initiatives, field trials, experimental design, data analysis, and technical reporting.

  • Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze complex datasets.

  • Help develop dashboards, reports, decision-support tools, and automated analytics.

  • Evaluate precision dairy technologies, herd-management systems, automated milking systems, IoT devices, and other emerging technologies.

  • Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers.

  • Translate scientific findings and analytical results into practical recommendations for dairy operations and business teams.

What We're Looking For

  • Bachelor's degree in Dairy Science, Animal Science, Agricultural Science, Statistics, Data Science, Veterinary Science, Biology, or a related field.

  • Meaningful academic, research, or professional experience related to dairy cattle, dairy production, herd health, nutrition, reproduction, milk production, or animal science.

  • Experience using data and statistics to answer scientific or operational questions.

  • Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar technologies.

  • Knowledge of statistical analysis, experimental design, or predictive modeling.

  • Ability to communicate scientific and analytical findings to both technical and non-technical audiences.

  • Curiosity and willingness to learn new data platforms and technologies.

Even Better If You Bring

  • Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health.

  • Experience working with dairy herd-management, DHIA, sensor, genomic, or precision dairy data.

  • Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms.

  • Experience with machine learning or predictive modeling.

  • Experience with Power BI, Tableau, or other visualization tools.

  • Peer-reviewed publications, conference presentations, or technical research reports.

  • Direct exposure to dairy farm operations and an understanding of how scientific recommendations translate into day-to-day farm decisions.

Why This Role

This is an opportunity to combine dairy science with modern analytics and help solve meaningful problems affecting herd health, production efficiency, sustainability, and farm profitability.

You don't need to arrive as an expert in every technology we use. If you bring strong dairy knowledge, scientific curiosity, quantitative skills, and some coding experience, we want to hear from you.

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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