2

Remote Junior Data Scientist Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

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 ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Lead design and code reviews, share engineering best practices, and mentor junior data engineers. Required skills: * Bachelor's degree in Computer Science, Information Systems, Engineering, or a ...

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Build strong internal and external collaborations, mentor junior scientists, and maintain expertise ...

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Collaborate with analysts, data scientists, and software engineers to understand requirements and ... WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility ...

New

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Role: As part of the System Engineering ... Bachelor's degree in electrical engineering, computer science or in a relevant field * • At least ...

Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ... Pursuing a bachelor's degree in information science, data science, information technology, computer ...

next page

Showing results 1-20

Remote Junior Data Scientist information

What does a remote junior data scientist do?

A Remote Junior Data Scientist assists in analyzing and interpreting complex data to help organizations make informed decisions, all while working from a location outside the traditional office. Their tasks often include cleaning and organizing data, building basic models, creating visualizations, and assisting senior data scientists with larger projects. They primarily use programming languages like Python or R and work with databases and data visualization tools. Communication and collaboration with team members often happen through digital platforms, making remote work possible. This role is ideal for those with strong analytical skills and a passion for problem-solving using data.

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

To thrive as a Remote Junior Data Scientist, you generally need a solid background in statistics, programming (usually Python or R), and a degree in a quantitative field such as computer science, mathematics, or engineering. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization libraries, as well as experience with machine learning frameworks such as scikit-learn or TensorFlow, is typically expected. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for succeeding in a remote environment. These competencies enable you to analyze data effectively, communicate insights clearly, and independently contribute to team goals from a remote setting.

What are some common challenges remote junior data scientists face when collaborating with distributed teams?

Remote Junior Data Scientists often face challenges such as effective communication, aligning on project goals, and managing time zone differences when working with distributed teams. It can be difficult to get immediate feedback or clarification, which may slow down tasks like data cleaning or model validation. To overcome these challenges, it's important to proactively communicate through regular check-ins, use collaboration tools like Slack or JIRA, and document work clearly. Building relationships with teammates and seeking mentorship can also help you grow and stay engaged in a remote environment.

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

AspectRemote Junior Data ScientistRemote Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some knowledge of programming (Python, R)Bachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, data modeling, and machine learningData reporting, cleaning, visualization, and interpreting data for business insights
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Remote Junior Data Scientists focus on building models and applying machine learning techniques, requiring programming skills and a background in data science. Remote Data Analysts primarily handle data cleaning, visualization, and reporting, often with less emphasis on advanced modeling. Both roles are in high demand across various industries, but they differ in technical complexity and daily tasks.

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

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

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

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

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

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

Infographic showing various Remote Junior Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Dairy Data Scientist

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 13 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.