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Geospatial Data Science Internship

Job in Modesto, Stanislaus County, California, 95351, USA
Listing for: GALLO
Full Time, Apprenticeship/Internship position
Listed on 2026-09-15
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 55120 - 57200 USD Yearly USD 55120.00 57200.00 YEAR
Job Description & How to Apply Below

Job Req

Job Type: Full-time

Work Category:
Onsite,

Application Close Date: 11/15/2026

Sponsorship:
Not Available

Compensation: $26.50 - $27.50 / hour

Duration: 6 months (June - December, 2027)

* Important Information*

Applications will not be reviewed until the application close date.

Candidates must be available for the entire duration of the internship to qualify.

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We are GALLO

We’re a family‑owned company with a 90+ year legacy, that’s consistently recognized as a Glassdoor "Best Places to Work." We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready‑to‑drink beverages. We’re home to the #1 wine and spirits brands in the U.S.

- Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.

View our Corporate Values and Mission Statement here.

A Taste of What You’ll Do

Join our team as a GIS (Geospatial Data Science) and be at the forefront of innovation in wine grape production. We are dedicated to fostering an inclusive environment where diverse talents and perspectives drive our success in advancing digital agriculture practices. As an intern, you will contribute to research and production support initiatives that aim to enhance yield, fruit composition, and wine quality.

You will work alongside experts from various Wine growing Research disciplines and collaborate with internal partners and leading industry and academic collaborators.

You will process and analyze geospatial data from satellite and drone imagery, soil maps, climate information, and ground observations. Using machine learning, you will contribute to projects involving crop health monitoring, disease detection, yield prediction, and vine water status. You will also use Python, R, and cloud computing to automate spatial data processing and help develop accurate, high‑quality spatial databases.

  • Interns will develop and apply GIS and remote sensing solutions for advancing vineyard management and grape production practices.
  • Assigned tasks include utilizing machine learning techniques to monitor crop health, disease detection, yield prediction, and vine water status.
  • Interns will learn how GIS is applied to wine grape production across a wide-range of California production regions, grape varieties, and growing practices.

Embrace this opportunity to develop your skills and be part of a team that values innovation, collaboration, and diverse perspectives.

What You’ll Need
  • Currently enrolled at a college or university and working towards a Bachelor’s degree or Master’s degree in the School of Computer Science, School of Engineering, Agricultural Sciences, Life Science, or Natural Resources; OR have obtained a Bachelor’s degree or Master’s degree in the School of Computer Science, Engineering, Agricultural Sciences or Natural Resources.
  • Available for the entire duration of the internship program area(s) of interest.
  • Strong applied technical skills and analytical problem‑solving skills.
  • Good oral and written communication skills.
  • Requires availability to work evenings, weekends and holidays when necessary.
  • Required to be 21 years of age.
Our Benefits & Perks

We are committed to providing competitive compensation, perks, and a culture that supports your well‑being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview.

The Fine Print
  • The Company does not sponsor for employment‑based visas for this position now or in the future.
  • We offer a broad salary range to allow for long‑term growth. Actual compensation paid within the range will be determined by…
Position Requirements
Less than 1 Year work experience
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