Advanced 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

About The Opportunity

The Advanced Forecast Analytics Modeler will shape the future of supply forecasting by transforming complex agricultural data into scalable statistical, AI, and physiology-based models that improve forecast accuracy and business decisions.

Location: US - Watsonville, California

Job Family: Forecasting

Time Type: Full time

Job Requisition ID: R0009376

Experience Years: 3-5 Years of Experience

Employee Type: Regular

Remote Type: Onsite

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.

Candidate Profile

Education And Experience

• 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.

Requirements

• Proficiency in Python, R, Excel, or similar tools for data analysis, model development, and automation is a MUST.


• Ability to independently lead complex analytical work and translate findings into practical business applications for technical, operational, and leadership audiences is a MUST.


• Experience with AI-enabled forecasting, machine learning, time-series methods, statistical testing, model validation, or hybrid modeling approaches is PREFERED.


• Experience in agriculture, agribusiness, supply forecasting, manufacturing, or logistics is PREFERED.


• Experience with crop modeling and knowledge of crop physiology, agricultural, weather, environmental, geospatial, quality, or field-level data is PREFERED.


• Strong analytical problem-solving, cross-functional collaboration, curiosity, and attention to data quality is PREFERED.

Additional Requirements

• Up to 25% domestic and international travel, including field and operational visits.


• Valid driver’s license and eligibility for the company-sponsored vehicle insurance program.


• Valid passport and ability to travel internationally without restrictions.

Compensation & Benefits

The following information is provided in good faith as a general description of the salary range and benefits for the position posted. The actual compensation offered to the successful candidate is dependent upon experience, skills, education, work location, internal pay equity, and other objective job-related factors.

Salary Range estimated for Position Here: $87,000 to $105,000 USD.

Driscoll’s is committed to a culture of care and offers an attractive benefits package that includes comprehensive medical, dental, and vision coverage, life insurance, and disability coverage for positions working more than 30 hours per week. Other benefits include: 401(k) with employer match, profit-sharing participation, paid sick time, paid vacation, paid personal and family care leave, and a free Employee Assistance Program (EAP). More detailed information regarding the benefits package, will be shared during the application process.

About Driscolls

Driscoll's is the global market leader for fresh strawberries, blueberries, raspberries and blackberries. With more than 100 years of farming heritage and hundreds of independent growers around the world, Driscoll's is passionate about growing fresh, beautiful and delicious berries. Our values of humility, passion and trustworthiness have guided our mission to delight consumers around the world. Driscoll's exclusive patented berry varieties are developed through years of research using only natural breeding methods – meaning, no GMOs. From farm-to-table, we focus on delivering a high quality, premium berry experience with our many supply chain partners. Driscoll's is the trusted brand for Only the Finest Berries™.

Driscoll's es el proveedor líder en la comercialización de Fresas, Frambuesas, Zarzamoras y Arándanos Azules en el mundo. Con más de 100 años de herencia en agricultura y cientos de productores independiente alrededor del mundo, Driscoll's es una compañía apasionada por cultivar Berries frescas, hermosas y deliciosas. Nuestros valores de humildad, pasión y confianza han guiado nuestra misión de deleitar a los consumidores en el mundo. Las variedades exclusivas de Driscoll's han sido desarrolladas a través de años de investigación usando sólo métodos de mejoramiento natural. De la granja a la mesa, nos enfocamos en ofrecer una experiencia de alta calidad con apoyo de nuestros socios de la cadena de suministro. Driscoll's es la marca de confianza de sólo las mejores Berries.