AI-Driven Agricultural Forecast Analytics Modeler

Driscoll's; Watsonville (CA); On-site; USD 87,000 - 105,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Life insurance

Disability coverage

401(k) with employer match

Profit-sharing

Paid sick time

Paid vacation

Paid personal and family leave

Employee Assistance Program (EAP)

Job summary

Driscoll's is seeking an Advanced Forecast Analytics Modeler in Watsonville, CA to shape supply forecasting by transforming complex agricultural data into scalable models (statistical, AI, and physiology-based) to improve forecast accuracy and business decisions.

The role requires 3–5 years of experience, proficiency in Python/R/Excel, and will involve field data validation, data cleansing, and development of advanced forecasting approaches within a collaborative, on-site setting.

Qualifications

• Master’s degree in Statistics, Data Science, Data Analytics, Agricultural Science, or a related quantitative field; PhD preferred.
• Four or more years of experience in statistical modeling, forecasting, data analytics, or a related field.

Responsibilities

• Develop, validate, deploy, and continuously improve advanced models to increase forecast accuracy.
• Maximize current data and identify future data needed to improve forecast performance.
• Prepare and cleanse data while establishing clear definitions and consistent data flows for AI model development.
• Develop physiology-based models to complement AI forecasting and support hybrid modeling approaches.
• Evaluate emerging analytical methods, modeling techniques, and technologies for business application.
• Design robust sampling methodologies and signal thresholds to strengthen model inputs and validation.
• Participate in field sampling activities to validate data and model assumptions.
• Complement existing team capabilities by providing advanced technical support and capability development to frontline teams.
• Develop analyses, reports, and data visualizations tailored to technical, operational, and leadership audiences.

Skills

Python

R

Excel

Education

Master’s degree in Statistics/Data Science/Data Analytics/Agricultural Science or related, PhD preferred

Job description

Driscoll's is seeking an Advanced Forecast Analytics Modeler in Watsonville, CA to shape supply forecasting by transforming complex agricultural data into scalable models (statistical, AI, and physiology-based) to improve forecast accuracy and business decisions.

The role requires 3–5 years of experience, proficiency in Python/R/Excel, and will involve field data validation, data cleansing, and development of advanced forecasting approaches within a collaborative, on-site setting.