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GALLO · 6 hours ago

STATISTICIAN 3

Modesto, CA

Full-time

Hybrid

Mid, Senior Level

$111K/yr - $166K/yr

2+ years exp

Gallo is a family-owned company with a 90+ year legacy, recognized as a Glassdoor 'Best Places to Work.' They are seeking a Statistician 3 to join their analytic team to turn data into decisions that shape their portfolio and drive business impact, ensuring data integrity and building statistical models to support corporate goals.

Wine & Spirits

Growth Opportunities

No H1B

Responsibilities

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&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

Qualification

SQLRPythonStatistical modelingMachine learningData Lake environmentsData Science NotebooksArtificial IntelligenceCuriosityCommunicationCollaborationProject managementMentorship

Required

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

Preferred

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