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.
Relocation assistance is not provided for this role. Applicants must reside within a commutable distance of Watsonville, CA or be willing to relocate at their own expense.
At this time, we are unable to sponsor or take over sponsorship of an employment visa now or in the future.
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.