Agricultural Data Scientist (Remote)

Placements24; Redmond (WA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote work

Professional development opportunities

Flexible schedule

Job summary

Placements24 is seeking an Agricultural Data Scientist to transform vast agricultural data into actionable insights that boost crop productivity and farm efficiency. The role is fully remote, with collaboration across agronomists, farmers, and product teams.

You will build models, design experiments, and create dashboards to communicate findings to technical and non-technical stakeholders while ensuring data integrity and privacy.

Qualifications

• Master's or Ph.D. in a quantitative field or related discipline.
• Minimum of 3 years of professional data science experience in agricultural applications.
• Proficiency in Python or R.
• Experience with ML libraries and statistical modeling.
• Experience with SQL and/or NoSQL databases.
• Experience with data visualization tools.
• Strong understanding of agricultural principles and farm operations.
• Excellent analytical and communication skills.
• Ability to work remotely and autonomously.

Responsibilities

• Collect, clean, and preprocess large agricultural datasets.
• Develop and apply statistical models and ML algorithms to analyze data and predict trends.
• Design and run experiments to validate models.
• Create visualizations and dashboards for stakeholders.
• Define KPIs with agronomists and domain experts.
• Develop data‑driven recommendations for farming practices.
• Contribute to new data products and analytical tools.
• Stay updated on data science advances and their use in agriculture.
• Ensure data integrity, security, and privacy compliance.
• Work independently within a remote team.

Skills

Statistical modeling

Machine learning

Data visualization

Python

R

Analytical thinking

Communication

Remote collaboration

Education

Master's or Ph.D. in Data Science/Statistics/Computer Science/Agronomy

Tools

TensorFlow

PyTorch

Scikit-learn

SQL

NoSQL

Tableau

Power BI

Matplotlib

Seaborn

Job description

About the Role

Our client, a forward-thinking agricultural technology firm, is seeking a highly analytical and innovative Agricultural Data Scientist to join their team. This position is entirely remote, allowing you to contribute your expertise from anywhere. You will be responsible for transforming vast amounts of agricultural data into actionable insights that drive decision-making, optimize farm operations, and enhance crop productivity. This includes working with data from sensors, drones, satellite imagery, and farm management systems. The ideal candidate possesses a strong background in statistical modeling, machine learning, and data visualization, coupled with a keen understanding of agricultural processes. You will collaborate closely with agronomists, farmers, and product development teams to identify key trends, predict outcomes, and develop data-driven solutions to complex challenges in the agricultural sector. Your remote role will be crucial in advancing our client's mission to make farming more efficient, sustainable, and profitable.

Key Responsibilities

• Collect, clean, and preprocess large datasets from diverse agricultural sources.
• Develop and apply statistical models and machine learning algorithms to analyze agricultural data, identify patterns, and predict trends (e.g., yield prediction, disease outbreak forecasting).
• Design and implement experiments to test hypotheses and validate models.
• Create compelling data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with agronomists and domain experts to define key performance indicators (KPIs) and analytical requirements.
• Develop data-driven recommendations for optimizing farming practices, resource allocation, and crop management strategies.
• Contribute to the development of new data products and analytical tools for the agricultural industry.
• Stay current with the latest advancements in data science, machine learning, and their applications in agriculture.
• Ensure data integrity, security, and compliance with relevant privacy regulations.
• Work independently and effectively within a remote team structure.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Agronomy with a quantitative focus, or a related field.
• Minimum of 3 years of professional experience in data science, with a focus on agricultural applications.
• Proficiency in programming languages commonly used for data analysis, such as Python or R.
• Strong experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
• Expertise in data manipulation and querying using SQL and/or NoSQL databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of agricultural principles, crop science, and farm operations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to present complex findings clearly.
• Demonstrated ability to work autonomously and manage projects effectively in a remote environment.

Benefits

• Competitive salary commensurate with experience.
• Fully remote work arrangement, offering unparalleled flexibility.
• Opportunity to make a significant impact on the future of agriculture.
• Access to cutting-edge datasets and technologies.
• Professional development and training opportunities.
• Collaborative and innovative work culture.