Remote Agricultural Data Scientist

Our client, a forward-thinking agricultural technology company, is looking for a skilled and passionate Agricultural Data Scientist to contribute to their mission of enhancing global food production through data-driven insights. This is a fully remote position, offering the flexibility to work from anywhere while making a significant impact on the agricultural sector. You will be responsible for analyzing vast datasets related to crop yields, soil health, weather patterns, and pest management to develop predictive models and actionable recommendations for farmers and agricultural businesses. Your work will involve leveraging advanced statistical techniques, machine learning algorithms, and data visualization tools.

Key responsibilities include collecting, cleaning, and processing diverse agricultural data sources, developing and validating machine learning models for yield prediction, disease detection, and resource optimization. You will also collaborate with agronomists and domain experts to interpret results and translate complex data findings into practical applications. The ideal candidate will have a strong background in data science, statistics, and programming (e.g., Python, R), with specific experience or a deep interest in agriculture. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent communication skills are crucial for presenting findings to technical and non-technical audiences. This role provides an exciting opportunity to work on cutting-edge agricultural challenges and contribute to sustainable farming practices, all while operating remotely, ideally within proximity to Nashville, Tennessee, US .