12 Agricultural jobs in Davis
Agricultural Operations Specialist
Posted today
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Agricultural Data Scientist
Posted 1 day ago
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Responsibilities:
- Collect, clean, and preprocess large and complex agricultural datasets from various sources.
- Develop and implement advanced statistical models and machine learning algorithms to analyze crop health, predict yields, and optimize irrigation and fertilization strategies.
- Utilize remote sensing data (satellite, drone imagery) for land use analysis, vegetation health monitoring, and pest/disease detection.
- Analyze weather patterns and soil data to forecast potential risks and optimize planting and harvesting schedules.
- Develop data-driven solutions for precision agriculture and sustainable forestry management.
- Create dashboards and visualizations to communicate complex findings to stakeholders, including farmers, agronomists, and policymakers.
- Collaborate with subject matter experts in agriculture, biology, and environmental science to define research questions and interpret results.
- Stay current with the latest advancements in agricultural technology, data science, and machine learning.
- Contribute to the development of new data collection methodologies and tools.
- Evaluate the effectiveness of implemented solutions and iterate for continuous improvement.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Agronomy, or a related quantitative field.
- A minimum of 5 years of experience in data science, with a strong focus on agricultural or environmental applications.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with geospatial data analysis and remote sensing tools (e.g., ArcGIS, QGIS, Google Earth Engine).
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Familiarity with agricultural practices, crop science, and environmental monitoring is highly desirable.
- Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Strong analytical and problem-solving skills.
- Ability to work independently and manage projects effectively in a fully remote environment.
- Excellent communication and collaboration skills.
Senior Agricultural Economist
Posted 2 days ago
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Senior Agricultural Engineer
Posted 7 days ago
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Key Responsibilities:
- Lead the design and development of new agricultural machinery and systems, from concept to prototype and production.
- Conduct research and analysis on soil, water, and environmental conditions to inform engineering solutions.
- Oversee the integration of precision agriculture technologies, including GPS, sensors, and automation systems.
- Collaborate with agronomists, farmers, and other stakeholders to ensure practical and effective implementation of engineering designs.
- Manage project timelines, budgets, and resources to ensure successful project delivery.
- Troubleshoot and resolve engineering challenges that arise during the development or operation of agricultural systems.
- Stay abreast of the latest advancements in agricultural engineering and relevant technologies.
- Prepare technical reports, documentation, and presentations for internal review and external stakeholders.
- Mentor junior engineers and provide technical guidance.
- Ensure all designs comply with relevant safety and environmental regulations.
Qualifications:
- Bachelor's or Master's degree in Agricultural Engineering, Mechanical Engineering, or a related field.
- Minimum of 5 years of progressive experience in agricultural engineering or a closely related discipline.
- Proven experience with CAD software (e.g., AutoCAD, SolidWorks) and simulation tools.
- Demonstrated knowledge of irrigation systems, soil mechanics, and crop physiology.
- Experience with data analysis and statistical software.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong project management and leadership abilities.
- Effective communication and interpersonal skills, with the ability to work collaboratively in a team environment.
- Familiarity with sustainable agriculture practices is a significant plus.
Remote Agricultural Data Scientist
Posted 4 days ago
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Director of Agricultural Technology
Posted 7 days ago
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Responsibilities:
- Develop and execute the strategic vision for agricultural technology innovation, aligning with the company's sustainability goals.
- Lead and mentor a team of researchers, agronomists, and technology specialists.
- Oversee the research, development, and deployment of new agricultural technologies, including sensors, drones, AI-driven analytics, and automation systems.
- Manage research budgets, timelines, and resources effectively.
- Establish and nurture collaborations with academic institutions, research organizations, and technology partners.
- Analyze farm data to identify trends, optimize crop yields, and improve resource management (water, fertilizer, pesticides).
- Ensure the successful integration of new technologies into existing farming operations.
- Stay abreast of global trends and advancements in agricultural science and technology.
- Present research findings and strategic plans to executive leadership and external stakeholders.
- Contribute to intellectual property development through patents and publications.
Qualifications:
- Ph.D. in Agronomy, Agricultural Engineering, Plant Science, or a related field.
- Minimum of 10 years of progressive experience in agricultural research and development, with at least 5 years in a leadership role.
- Demonstrated expertise in precision agriculture, crop modeling, soil science, or plant physiology.
- Strong understanding of data analytics, IoT, AI, and machine learning applications in agriculture.
- Proven experience in managing complex research projects and leading cross-functional teams.
- Excellent strategic thinking, problem-solving, and decision-making skills.
- Exceptional communication, presentation, and interpersonal abilities.
- Ability to foster a collaborative and innovative research environment.
- Experience working with large agricultural datasets and farm management software.
- Must be able to work on-site in Sacramento, California, to closely collaborate with R&D teams and field operations.
This is a unique opportunity to make a significant impact on the future of sustainable food production. Join our client and lead the charge in agricultural innovation.
Senior Agricultural Data Scientist
Posted 7 days ago
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Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze agricultural data (yield, weather, soil, pest, disease, satellite imagery).
- Identify key drivers of crop performance and environmental factors impacting agricultural output.
- Build predictive models for crop yield forecasting, disease outbreaks, and optimal planting/harvesting times.
- Design and conduct experiments to test new agricultural technologies and practices.
- Collaborate with agronomists, farmers, and research scientists to understand challenges and translate them into data science problems.
- Develop data visualizations and dashboards to communicate complex findings to stakeholders with diverse backgrounds.
- Contribute to the development of precision agriculture solutions and smart farming systems.
- Manage and process large, diverse agricultural datasets, ensuring data quality and integrity.
- Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
- Develop and maintain documentation for data pipelines, models, and analytical processes.
- Mentor junior data scientists and provide technical leadership.
- Evaluate and recommend new tools and technologies for agricultural data analysis.
- Ensure all analyses and recommendations support sustainable and environmentally conscious farming practices.
- Present findings and insights at conferences and industry events.
- Contribute to research papers and publications in relevant fields.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field.
- 5+ years of experience in data science, with a focus on agricultural applications or related environmental sciences.
- Strong proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Hadoop, Spark) and database management (SQL, NoSQL).
- Knowledge of geospatial data analysis and remote sensing techniques.
- Familiarity with machine learning techniques, including regression, classification, clustering, and deep learning.
- Understanding of agricultural principles, crop science, and common farming practices.
- Experience with agricultural IoT devices, sensors, and data platforms is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Ability to work independently and collaboratively in a team environment.
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Senior Agricultural Operations Manager
Posted 7 days ago
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Key Responsibilities:
- Develop and execute comprehensive crop production plans.
- Supervise and manage all field operations, including irrigation, fertilization, and pest management.
- Lead, train, and motivate a team of agricultural workers.
- Oversee the maintenance and operation of farm machinery and equipment.
- Manage inventory of supplies, including seeds, fertilizers, and pesticides.
- Ensure adherence to safety protocols and environmental regulations.
- Monitor crop health and implement corrective actions as needed.
- Contribute to strategic planning for long-term farm sustainability and growth.
- Maintain accurate operational records and prepare reports.
- Foster positive relationships with suppliers, contractors, and local authorities.
- Bachelor's degree in Agriculture, Agronomy, Horticulture, or a related discipline.
- Minimum of 7 years of experience in farm management or agricultural operations.
- Proven leadership and team management skills.
- Strong knowledge of crop science, soil management, and pest control.
- Experience with irrigation systems and farm equipment.
- Excellent communication and interpersonal skills.
- Proficiency in agricultural software and record-keeping.
- Valid driver's license and ability to work in various weather conditions.
Senior Agricultural Data Analyst
Posted 7 days ago
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Key Responsibilities:
- Develop and maintain predictive models for crop yield, disease outbreaks, and resource needs.
- Analyze large-scale agricultural datasets using statistical methods and machine learning techniques.
- Design and execute experiments to validate analytical findings and explore new data sources.
- Collaborate with agronomists, data scientists, and farm managers to define data collection strategies and reporting needs.
- Create compelling visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
- Identify opportunities for process improvements and the application of new analytical technologies.
- Mentor junior analysts and contribute to the development of the data analytics team's capabilities.
- Ensure data integrity, accuracy, and security across all analytical projects.
- Stay abreast of the latest advancements in agricultural technology and data science.
- Master's or Ph.D. in Agronomy, Data Science, Statistics, Computer Science, or a related quantitative field.
- 5+ years of experience in data analysis, with a focus on agricultural applications.
- Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., pandas, scikit-learn, TensorFlow).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with SQL and database management.
- Familiarity with GIS software and remote sensing data analysis.
- Excellent communication and presentation skills, with the ability to explain technical concepts clearly.
- Proven ability to work independently and as part of a collaborative team.
- Experience with farm management software and agricultural equipment data is highly desirable.
Agricultural Operations Manager, Sustainable Farming
Posted today
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