Dairy Data Scientist

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.

Originally posted on Himalayas