Job description

Our client, a forward-thinking agricultural technology firm, is seeking a highly skilled and motivated Remote Agricultural Data Scientist to revolutionize farming practices. This is a fully remote position, offering the flexibility to work from anywhere within the US. You will be instrumental in developing and implementing data-driven solutions to optimize crop yields, manage resources efficiently, and promote sustainable agriculture. Your work will involve analyzing vast datasets from sensors, drones, satellites, and historical farm records to uncover actionable insights. You will collaborate with agronomists, engineers, and farmers to translate complex data into practical, impactful recommendations. Key Responsibilities: Develop and deploy machine learning models for crop yield prediction, disease detection, and pest identification. Analyze geospatial data to optimize land use, irrigation, and fertilization strategies. Design and implement data collection protocols for agricultural sensors and IoT devices. Build dashboards and visualizations to communicate key performance indicators and trends to stakeholders. Collaborate with software development teams to integrate data science solutions into existing platforms. Conduct statistical analysis to validate model performance and identify areas for improvement. Research and implement new data mining and analytical techniques relevant to agriculture. Ensure data integrity, security, and privacy across all projects. Stay current with advancements in agricultural technology, data science, and machine learning. Provide expert consultation and support to internal teams and external partners. Qualifications: Master's or Ph.D. in Data Science, Computer Science, Statistics, Agricultural Science, or a related quantitative field. 3+ years of experience in data science, with a focus on agricultural applications or environmental data. Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with SQL and NoSQL databases. Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques. Familiarity with GIS software and geospatial data analysis. Excellent problem-solving and analytical skills. Ability to work independently and manage multiple projects in a remote setting. Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Knowledge of agricultural practices and challenges is highly desirable. This role offers a unique opportunity to shape the future of agriculture through data innovation, all from the convenience of your home office. Join a passionate team dedicated to making a real-world impact.

Requirements