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Remote Data Scientist Jobs in Wisconsin (NOW HIRING)

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

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 ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

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 ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will design, develop, and maintain data pipelines, data models ... remote and requires work be performed at an offsite, non-campus work location. Key Job ...

Danaher

Principal Clinical Scientist

Milwaukee, WI · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Resource Innovations

Energy Engineer

Madison, WI · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Building Science, or a related technical field. * At least 2 years of relevant experience in ...

Qualysoft

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Wisconsin

Remote Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do remote data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote 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 remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

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

The most popular types of Data Scientist jobs in Wisconsin are:

What are popular job titles related to Remote Data Scientist jobs in Wisconsin?

For Remote Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Wisconsin look for?

The top searched job categories for Remote Data Scientist jobs in Wisconsin are:

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

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

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Dairy Data Scientist

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 11 days ago

Key responsibilities

  • 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.

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

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.
About Us
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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