Advanced Forecast Analytics Modeler

Posted 9 Days Ago
Be an Early Applicant
Watsonville, CA, USA
In-Office
87K-105K Annually
Mid level
Food
The Role
Develops and improves advanced statistical, AI, time-series, and physiology-based forecasting models using agricultural data. Responsibilities include data preparation, model validation and deployment, sampling design, analytical research, field sampling, visualization, and technical support. The role translates complex findings for technical, operational, and leadership audiences and requires collaboration across teams. Up to 25% domestic and international travel is required, including field and operational visits.
Summary Generated by Built In
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 ProfileEducation 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.

Skills Required

  • Master's degree in Statistics, Data Science, Data Analytics, Agricultural Science, or a related quantitative field
  • Four or more years of experience in statistical modeling, forecasting, data analytics, or a related field
  • Proficiency in Python, R, Excel, or similar tools for data analysis, model development, and automation
  • Ability to independently lead complex analytical work and translate findings for technical, operational, and leadership audiences
  • PhD in a related field
  • Experience with AI-enabled forecasting, machine learning, time-series methods, statistical testing, model validation, or hybrid modeling approaches
  • Experience in agriculture, agribusiness, supply forecasting, manufacturing, or logistics
  • Experience with crop modeling and knowledge of crop physiology, agricultural, weather, environmental, geospatial, quality, or field-level data
  • Strong analytical problem-solving, cross-functional collaboration, curiosity, and attention to data quality
  • Valid driver's license and eligibility for the company-sponsored vehicle insurance program
  • Valid passport and ability to travel internationally without restrictions

Driscoll'S Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Driscoll'S and has not been reviewed or approved by Driscoll'S.

  • Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision, alongside wellness resources and an Employee Assistance Program. Company materials emphasize easy access and breadth as part of a formal Total Rewards program.
  • Retirement Support — A 401(k) with employer match and participation in profit sharing are offered to support long‑term savings. These components complement base pay as part of the overall package.
  • Leave & Time Off Breadth — Paid vacation, sick time, and personal/family care leave are provided, with parental leave and volunteer time off also referenced. The mix indicates a well‑rounded time‑off framework.

Driscoll'S Insights

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The Company
HQ: Watsonville, CA
2,501 Employees

What We Do

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 great tasting berries. Driscoll’s exclusive patented berry varieties are developed through years of research using only natural breeding methods – that means no GMOs. A dedicated team of agronomists, breeders, sensory analysts, plant pathologists and entomologists help grow baby seedlings that are then grown on family farms. Our independent berry growers then work with Mother Nature, using experience and know-how to get the very best out of each strawberry, blueberry, blackberry and raspberry plant. Driscoll’s is serious about yummy berries! Driscoll’s is the trusted brand for Only the Finest Berries ™.

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