Legacy Farmer is seeking an
Agricultural Data Scientist (Producer Economics & Analytics) to join the Legacy Farmer team
remotely in the US.
Legacy Farmer is a growing platform dedicated to helping family farms achieve
financial mastery, drive constant growth, and build sustainable businesses that can be passed on to future generations. Our flagship product,
Farmer Metrics, is decision-making software (not traditional accounting software) that delivers accurate, real-time financial insights, empowering farmers to make confident decisions and maintain control over their operations.
As the
Agricultural Data Scientist (Producer Economics & Analytics), you will focus on data structuring, validating, and analyzing farmer and rancher economic data and behavior. The role does not evaluate crop yields, livestock performance, or biological outcomes. Instead, it measuresrisk awareness, economic decision-making, and financial behavioracross the agricultural economy. You will report directly to the VP of Products and work cross-functionally with the engineering and product teams to ensure accurate data.
Key Responsibilities:
Data Engineering & Management
- Collect, clean, normalize, and structure producer economic data, including:
- Financial statements and ratios
- Business structure and management indicators
- Demographic and enterprise characteristics
- Platform usage and engagement signals
- Build and maintain scalable data pipelines for analytics and modeling
- Enforce data quality standards, validation rules, and documentation
Quantitative Analysis & Modeling
- Apply statistical and econometric methods to:
- Identify patterns in producer decision-making
- Measure risk awareness, adoption behavior, and planning discipline
- Quantify relationships between financial behavior and outcomes
- Develop producer segmentation, scoring, and benchmarking frameworks
- Monitor trends and anomalies across producer populations
Primary Data & Survey Analytics
- Design, administer, and analyze statistically sound producer surveys
- Convert survey responses into structured behavioral variables
- Integrate primary survey data into core analytical datasets
- Ensure sampling, weighting, and bias mitigation meet applied-economics standards
Data Product & AI Readiness
- Structure datasets to support:
- Predictive analytics
- AI/ML training
- Partner-facing intelligence products
- Work with engineering to ensure datasets are production-ready
- Identify and close gaps in producer-economic data coverage
Product & Leadership Reporting
- Deliver clear, data-driven insights to the VP of Product and product teams
- Build repeatable reports, dashboards, and documentation
- Ensure analytical conclusions are traceable to well-defined data sources
Minimum Qualifications
- Master’s degree (MS) in Agricultural Economics, Applied Economics, Economics,
Statistics, or a closely related field
- Strong quantitative background in:
- Econometrics
- Applied statistics
- Data analysis
- Demonstrated experience working with:
- Large, messy datasets
- Data cleaning and transformation
- Reproducible analytical workflows
- Agricultural background required (farm/ranch experience, ag industry exposure, or applied ag-econ research)
- Ability to translate data into practical producer-economic insights
