乳制品数据科学家
Dairy Data Scientist
你是否对乳品科学充满热情，并希望利用数据提升牛群表现、动物健康和农场决策？
VAS，URUS集团旗下的公司，正在寻找一位乳品数据科学家，要求具备扎实的乳品生产知识，并能够运用统计学、分析和编程解决实际的乳品行业问题。
这个职位位于乳品科学、研究、分析和技术的交汇点。你将与兽医、营养师、乳品科学家、农场操作员、数据工程师和软件团队合作，分析生物、生产、传感器和运营数据，并将其转化为对乳品行业有意义的见解。
你将负责
- 分析乳品生产、牛群健康、营养、繁殖、传感器、基因组和运营数据。
- 应用统计分析和预测建模，识别与牛群表现相关的趋势、风险和机会。
- 支持乳品研究项目、田间试验、实验设计、数据分析和技术报告。
- 使用Python、R、SQL、Databricks或其他类似分析平台探索和分析复杂数据集。
- 帮助开发仪表盘、报告、决策支持工具和自动化分析。
- 评估精准乳品技术、牛群管理系统、自动挤奶系统、物联网设备和其他新兴技术。
- 与兽医、营养师、农场经理、研究人员、数据科学家和工程师合作。
- 将科学发现和分析结果转化为对乳品运营和业务团队有实际意义的建议。
我们希望你具备
- 乳品科学、动物科学、农业科学、统计学、数据科学、兽医学、生物学或相关领域的学士学位。
- 与奶牛、乳品生产、牛群健康、营养、繁殖、产奶或动物科学相关的学术、研究或专业经验。
- 使用数据和统计学回答科学或运营问题的经验。
- 一些使用Python、R、SQL、SAS或其他类似技术进行编程或分析的实际经验。
- 对统计分析、实验设计或预测建模的了解。
- 能够向技术和非技术受众传达科学和分析成果的能力。
- 好奇心和学习新数据平台和技术的意愿。
如果你具备以下条件将更佳
- 硕士或博士学位
查看英文原文
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