Job Req ID: 106750

Job Type: Full-time

Work Category: Hybrid Telecommute

Application Close Date: 01/23/2026

Sponsorship: Not Available

Compensation: $ 110,700 - $ 166,100

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.

A Taste of What You'll Do

Join Gallo's analytic team to turn data into decisions that shape our portfolio and drive business impact. You'll ensure data integrity, explore outliers and missing values, and build statistical models using SQL, R, and Python to test hypotheses and deliver clear, actionable recommendations. You'll research emerging techniques, translate business questions into testable analyses, and partner with Brand, Commerce, R & amp;D, and other teams to support corporate goals with rigorous, relatable insights.

You'll design and prototype solutions-machine learning, regression, mixed-effects models, decision trees-and create visual, easy-to-understand dashboards and reports for diverse audiences. You'll own projects end-to-end, develop project management skills, work in agile ways, and help refine processes that improve how we collect, analyze, and share data. Collaboration and strong communication matter: you'll present findings confidently, influence decisions with data storytelling, and support stakeholders through pragmatic trade-offs.

We value curiosity, continuous learning, and mentorship; you'll grow your business acumen across Finance, Marketing, and category dynamics while beginning to guide junior statisticians. We're committed to an inclusive workplace-people of all backgrounds, experiences, and perspectives are encouraged to apply. If you bring technical rigor, a "can-if" attitude, and a desire to make measurable impact using SQL, R, and Python, we'd love to hear from you. Apply to join a team where your work directly informs strategy and accelerates growth.

What You'll Need

•  Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus statistics, data analytics, or market research experience; OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus 2 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility; OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus 4 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility.
•  Proficient in programming languages (SQL, R, Python) at an advanced level.
•  Required to travel up to 25% of the time in order to conduct job duties.
•  Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation. This may be in addition to travel requirements, if applicable, as listed in this job description.
•  Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this job description.

How You'll Stand Out

•  Ph. D. in Statistics, Data Science or Mathematics plus 2 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility; OR Master's Degree in Statistics, Data Science or Mathematics plus 4 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility.
•  Experience with Data Lake environments, particularly AWS Sagemaker, and proficiency in Data Science Notebooks.
•  Alcohol Beverage category experience.
•  Familiarity with Git workflows for version control.
•  Experience with Artificial Intelligence (AI) and deep learning methodologies.
•  Prior experience in the Consumer-Packaged Goods (CPG) or Alcohol Beverage industries.

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.