3 Remote Agronomy Data Scientist jobs in whatjobs
Remote Agronomy Data Scientist
Posted 20 days ago
Job Viewed
Job Description
Our client, a leader in agricultural innovation, is seeking a highly skilled and motivated Remote Agronomy Data Scientist to contribute to advancing sustainable farming practices. This is a fully remote position, offering the flexibility to work from any location while driving significant impact in the agriculture sector. The ideal candidate will possess a strong blend of agronomic knowledge, data science expertise, and computational skills. You will be instrumental in developing and implementing sophisticated data-driven models to optimize crop yields, manage resources efficiently, and predict potential agricultural challenges. Your responsibilities will include collecting, cleaning, and analyzing large datasets from various sources such as sensors, drones, satellite imagery, and historical farm data. You will apply advanced statistical techniques and machine learning algorithms to extract actionable insights that guide farmers in making informed decisions. This role requires close collaboration with agronomists, researchers, and field operations teams to translate complex data findings into practical, easy-to-understand recommendations. Experience in predictive modeling, geospatial analysis, and programming languages like Python or R is essential. A deep understanding of crop physiology, soil science, and common agricultural pests and diseases is highly desirable. You will also be involved in visualizing data and presenting findings to stakeholders, ensuring that complex information is communicated effectively. We are looking for an individual who is passionate about agriculture, curious, and driven by a desire to solve real-world problems through data. The ability to work autonomously, manage multiple projects, and communicate effectively across different teams and disciplines is crucial. This remote role provides an excellent opportunity to shape the future of agriculture by leveraging technology and data analytics. Join us in building a more efficient, sustainable, and resilient food system from your home office. This position offers a competitive compensation package, including a generous salary and benefits, commensurate with experience. If you are a data-driven problem-solver with a passion for agriculture, we encourage you to apply for this unique remote opportunity.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical and machine learning models for crop yield prediction, pest and disease detection, and resource optimization.
- Collect, clean, process, and analyze large, complex datasets from diverse agricultural sources (e.g., IoT sensors, satellite imagery, drone data, historical records).
- Perform geospatial analysis to understand spatial patterns and trends in crop health and soil conditions.
- Collaborate with agronomists and researchers to validate model outputs and ensure practical applicability.
- Translate complex data insights into actionable recommendations for farmers and stakeholders.
- Develop data visualization tools and dashboards to communicate findings effectively.
- Stay abreast of the latest advancements in agronomy, data science, and agricultural technology.
- Design and conduct experiments to test hypotheses and improve predictive models.
- Document methodologies, findings, and recommendations thoroughly.
- Master's or Ph.D. in Agronomy, Data Science, Statistics, Computer Science, or a related quantitative field.
- Proven experience in data analysis, statistical modeling, and machine learning applied to agriculture or a related domain.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with geospatial analysis tools and techniques (e.g., GIS software, remote sensing data processing).
- Strong understanding of agronomic principles, crop physiology, soil science, and common agricultural practices.
- Excellent analytical and problem-solving skills.
- Ability to communicate technical concepts effectively to both technical and non-technical audiences.
- Experience working with large datasets and database management.
- Demonstrated ability to work independently and manage projects in a remote environment.
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Remote Agronomy Data Scientist
Posted 11 days ago
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Job Description
Our client is seeking an innovative and analytical Remote Agronomy Data Scientist to join their forward-thinking team. This role is pivotal in leveraging cutting-edge data science techniques to enhance agricultural productivity, sustainability, and efficiency. You will work with vast datasets related to soil health, crop performance, weather patterns, and market trends to extract actionable insights. The position requires a deep understanding of agricultural principles combined with advanced data analysis skills. Your work will directly influence farming strategies and contribute to developing smarter, more resilient agricultural systems.
Key Responsibilities:
Key Responsibilities:
- Develop and implement statistical models and machine learning algorithms to analyze agricultural data.
- Process, clean, and validate large datasets from various sources, including sensors, satellites, and field trials.
- Identify trends, correlations, and anomalies in agronomic data to predict crop yields and identify risks.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate with agronomists, farmers, and other stakeholders to understand their needs and translate them into data-driven solutions.
- Create visualizations and reports to communicate complex findings to technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
- Contribute to the development of new data products and services.
- Ensure data integrity and security across all projects.
- Provide expert advice on data collection strategies and best practices.
This advertiser has chosen not to accept applicants from your region.
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Remote Agronomy Data Scientist
Posted 5 days ago
Job Viewed
Job Description
Our client, a leader in sustainable agricultural technology, is seeking a highly analytical and innovative Remote Agronomy Data Scientist. In this fully remote role, you will be at the forefront of leveraging data to drive improvements in crop yield, resource efficiency, and sustainable farming practices. You will work with vast datasets, including weather patterns, soil conditions, satellite imagery, and sensor data, to develop predictive models and actionable insights for farmers and agricultural professionals. Your expertise will help shape the future of agriculture through data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and analyze large, complex agricultural datasets from various sources (e.g., IoT sensors, weather stations, soil samples, satellite imagery).
- Develop and implement statistical models and machine learning algorithms to predict crop yields, identify disease outbreaks, and optimize irrigation and fertilization strategies.
- Create visualizations and dashboards to communicate complex data findings clearly and concisely to a non-technical audience.
- Collaborate with agronomists, researchers, and field teams to understand their data needs and translate them into analytical solutions.
- Design and conduct experiments to validate models and assess the impact of different agronomic practices.
- Stay current with the latest advancements in data science, machine learning, and agricultural technologies.
- Develop tools and scripts to automate data processing and reporting workflows.
- Identify opportunities for data collection improvement and contribute to the design of new data acquisition systems.
- Evaluate the performance of predictive models and refine them based on new data and feedback.
- Ensure data quality, integrity, and security across all analytical processes.
- Communicate research findings and recommendations through presentations, reports, and publications.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Agronomy, Agricultural Engineering, or a related quantitative field.
- Minimum of 3-5 years of experience in data analysis and modeling, with a strong preference for experience in the agricultural sector.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Strong understanding of statistical methods, machine learning techniques, and experimental design.
- Experience working with large datasets, databases (SQL/NoSQL), and data visualization tools (e.g., Tableau, Power BI).
- Familiarity with GIS software and remote sensing data is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a remote team environment.
- Passion for agriculture and applying data science to solve real-world challenges.
This advertiser has chosen not to accept applicants from your region.
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