Agricultural Data Scientist
Legacy Farmer
- New York, New York, United States
- New York, New York, United States
Über
Location: Fully Remote
Office Hours: Flexible: 8 am – 6 pm
Uncapped PTO: Within Reason
Base Salary: + Commission
Position Summary The Agricultural Data Scientist will play a critical role in advancing Legacy Farmer’s mission by managing, cleaning, and interpreting both customer and internal data. This position is responsible for ensuring Legacy Farmer’s datasets are structured, accurate, and aligned with long‑term objectives, including the development of AI models that support multi‑level and cross‑departmental functions.
The ideal candidate will have a
deep agricultural background
and advanced training in agricultural economics, statistics, or a related field. This person will understand the behaviours, decision‑making patterns, and operational realities of agricultural producers, and will champion key initiatives to extract
new foundational data
that shapes company direction and trains AI systems.
This role will report directly to the Director of Engineering and the Director of Coaching, ensuring tight integration between technical development and producer‑facing coaching initiatives.
Key Responsibilities
Data Management & Preparation
Oversee the collection, cleaning, and organization of customer and internal datasets.
Ensure data integrity across multiple sources, including financial, operational, demographic, and spatial data.
Design pipelines that align data for long‑term use in AI/ML model development.
Data Analysis & Interpretation
Interpret complex agricultural data to provide actionable insights for the Director of Coaching, Director of Engineering, and the leadership team.
Monitor demographic, consumer behavior, and market trend data to identify opportunities and risks.
Translate producer behaviour and operational metrics into predictive indicators for Legacy Farmer’s coaching and product teams.
Survey Design & Data Collection
Develop and administer surveys of both internal members and external agricultural producers to gather high‑quality behavioural, financial, and demographic data.
Ensure survey instruments are
statistically sound, unbiased, and aligned to produce representative insights .
Apply best practices to maximize survey response rates while protecting data quality.
Integrate survey results into the broader data strategy to support AI model training and leadership decision‑making.
AI & Innovation Alignment
Collaborate with the Director of Engineering to ensure datasets meet technical requirements for AI/ML model training.
Collaborate with the Director of Coaching to ensure data reflects producer behaviours and operational realities.
Recommend and lead initiatives to
extract new forms of foundational data
critical for AI model training (e.g., farm‑level financial, spatial, and management practices data).
Strategic Leadership Support
Present data‑driven findings and trends to the Director of Coaching, Director of Engineering, and leadership team to influence key business initiatives.
Support cross‑departmental projects by providing tailored data analysis and interpretation.
Ensure Legacy Farmer’s data strategy scales with organisational growth and evolving market demands.
Minimum Qualifications
Master’s degree (MS) in
Agricultural Economics ,
Statistics , or a closely related field.
Strong academic background with a thesis or coursework directly aligned with agriculture, farm management, or producer economics.
Agricultural background required
— candidates must demonstrate experience, knowledge, or upbringing within the agricultural industry (no exceptions).
Demonstrated high‑level proficiency in:
Data management (cleaning, structuring, pipelines).
Statistical analysis and econometric modelling.
Survey design, administration, and bias minimisation.
Data visualization and communication of findings.
Proven ability to
interpret data
and connect insights to real‑world agricultural decisions.
Comfortable working in a fast‑changing, innovative environment.
Preferred Qualifications
Experience working with farm‑level datasets, spatial data, or producer decision‑making data.
Familiarity with agricultural market structures (banks, equipment dealers, insurance, cooperatives).
Understanding of AI/ML concepts and how training data influences model outcomes.
Strong communication skills, able to translate complex findings into clear recommendations for both technical and non‑technical audiences.
Additional Notes
Candidates will be asked to
demonstrate proficiency through a test
as part of the interview process.
This role requires both
technical expertise in data
and
domain expertise in agriculture
— only candidates with a verifiable agricultural background will be considered.
Summary: The Agricultural Data Scientist ensures Legacy Farmer’s data is managed, interpreted, and strategically leveraged to advance organisational initiatives and power AI‑driven tools. This role includes responsibility for designing unbiased surveys of agricultural producers to extract critical insights, maximise response rates, and integrate behavioural data into Legacy Farmer’s AI and coaching models.
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Sprachkenntnisse
- English
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