Dairy Data Scientist

VAS, a URUS Group company, provides farm management software and information solutions for the dairy industry. The Dairy Data Scientist will analyze biological, production, sensor, genomic, and operational data; support dairy research and field trials; develop analytical tools; and translate findings into practical recommendations for dairy operations and business teams.

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 they'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
• 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