Remote Agricultural Data Scientist

Placements24; Riverton (UT); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Performance bonuses

Job summary

Placements24 is seeking a Remote Agricultural Data Scientist to analyze large datasets from farming operations, sensors, weather stations, and satellites. You will build predictive models to optimize yields and resource use, and deliver data-driven insights to clients globally.

The role requires advanced statistics, ML skills, and the ability to communicate complex findings remotely to diverse stakeholders. A strong background in agriculture is highly desirable.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Agricultural Engineering, or related field.
• At least 4 years of experience as a Data Scientist with complex datasets.
• Proficiency in Python or R and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong SQL and NoSQL database experience; cloud platform familiarity preferred.
• Excellent communication and ability to work remotely with cross-functional teams.

Responsibilities

• Collect, clean, and preprocess large agricultural datasets from various sources.
• Develop and implement statistical models and machine learning algorithms for predictive analytics.
• Analyze data to identify trends and insights on crops, soil health, and environment.
• Create visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with agronomists, engineers, and product managers to define requirements.
• Design and run A/B tests to validate models and strategies.
• Stay current with advances in data science and agriculture applications.
• Ensure data integrity, security, and privacy in analyses and implementations.
• Contribute to scalable data infrastructure and analytical frameworks.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

Data Visualization

Education

Master's degree or PhD in data science or related field

Tools

SQL

NoSQL

AWS/Azure/GCP

Job description

About the Role

Our client, a leading innovator in agricultural technology and data analytics, is seeking a highly skilled Remote Agricultural Data Scientist. This position is fully remote, offering the opportunity to work from anywhere while contributing to transformative projects in the agricultural sector. You will be responsible for collecting, cleaning, analyzing, and interpreting vast datasets generated from farming operations, sensors, weather stations, and satellite imagery. Your insights will be crucial in developing predictive models, optimizing crop yields, improving resource management, and driving data-informed decision-making for our clients globally. This role requires a strong analytical mindset, advanced statistical and machine learning skills, and a passion for applying data science to agricultural challenges.

Key Responsibilities

• Collect, clean, and preprocess large agricultural datasets from various sources.
• Develop and implement statistical models and machine learning algorithms for predictive analytics (e.g., yield prediction, disease outbreak forecasting).
• Analyze data to identify trends, patterns, and actionable insights related to crop performance, soil health, and environmental factors.
• Develop data visualization tools and dashboards to communicate findings effectively to technical and non-technical stakeholders.
• Collaborate with agronomists, engineers, and product managers to define project requirements and deliver data-driven solutions.
• Design and conduct A/B testing and experiments to validate models and strategies.
• Stay current with the latest advancements in data science, machine learning, and their applications in agriculture.
• Ensure data integrity, security, and privacy in all analyses and implementations.
• Contribute to the development of scalable data infrastructure and analytical frameworks.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Engineering, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with a proven track record in analyzing complex datasets.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong experience with SQL and NoSQL databases.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, comfortable explaining complex findings remotely.
• Ability to work independently and manage projects in a remote environment.
• Prior experience or a strong interest in the agricultural sector is highly desirable.

Benefits

• This position offers the significant advantage of being fully remote, providing excellent work-life balance and flexibility.
• Our client offers a highly competitive salary and performance bonuses.
• You will have the opportunity to work with cutting-edge technology and contribute to innovation in the agricultural industry.
• Gain exposure to diverse datasets and challenging analytical problems.
• Be part of a forward-thinking company that values data-driven insights and empowers its employees to grow and develop their skills.