Note: The job is a remote job and is open to candidates in USA. VAS, a URUS Group company, provides farm management solutions and data-driven insights for the dairy industry. The Dairy Data Scientist will analyze biological, production, sensor, genomic, and operational data, apply statistical and predictive modeling techniques, support research initiatives, and translate findings into practical recommendations for dairy operations and business teams.
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
- 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
Skills
- 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
- 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
Benefits
- Remote work arrangement
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