Advanced Forecast Analytics Modeler

Driscoll Strawberry Associates, Inc; United States; On-site; USD 87,000 - 105,000; Full time

Benefits offered by this job

401(k) with employer match

Profit-sharing participation

Paid sick time

Paid vacation

Paid personal and family care leave

Employee Assistance Program (EAP)

Job summary

Driscoll’s is seeking an Advanced Forecast Analytics Modeler to transform agricultural data into scalable statistical, AI, and physiology-based models that improve forecast accuracy and business decisions.

The role will develop, validate, deploy, and enhance models, prepare data, and support hybrid forecasting while delivering insights to technical and leadership teams.

Qualifications

• Master's degree or PhD in a quantitative field with 4+ years of experience in statistical modeling, forecasting, or data analytics.
• Proficiency in Python, R, Excel or similar tools for data analysis, model development, and automation is required.
• Experience with AI-enabled forecasting, time-series methods, and hybrid modeling approaches is preferred.

Responsibilities

• Develop, validate, deploy, and improve advanced models to increase forecast accuracy.
• Prepare and cleanse data; establish clear definitions and consistent data flows for model development.
• Develop physiology-based models to complement AI forecasting and support hybrid modeling.
• Evaluate new analytical methods and techniques for business applicability.
• Design robust sampling methods and signal thresholds for model inputs and validation.
• Develop analyses, reports, and visualizations for technical, operational, and leadership audiences.

Skills

Statistical modeling

Forecasting

Data analytics

Cross-functional collaboration

Data quality

Education

Master's degree in Statistics/Data Science/Data Analytics/Agricultural Science

PhD preferred

Tools

Python

R

Excel

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.

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

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
• a free Employee Assistance Program (EAP)

About Driscoll’s

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.