Statistician 3

E. & J. Gallo Winery Privacy Policy

Why Gallo?

With a global portfolio of over 100 unique wine and spirits brands, we are the largest family-owned winery in the world. Apply Today! Our Brands. Your Future.

As a Sr. Statistician at E. & J. Gallo Winery, you will use a wide range of analysis techniques to impact the business across the winery.  You will employ your exceptional technical and communication skills to design and influence research plans.  You will enjoy the challenge and experience of working with a variety of different clients and customers, identifying opportunities to improve, and developing pride and confidence in your work.

What You Will Do

Diverse and Interesting Statistical Analyses:

• Independently conducts full data analyses and interpretation in the fields of viticulture, chemistry, enology research, process technology, optimization, and more.
• Applies expertise with multiple statistical analysis methodologies such as machine learning, segmentation, regression-based modeling, mixed modeling, choice modeling, multivariate, or partial least squares

Project Support:

• Attends and leads internal project meetings and presentations to research scientists in a variety of disciplines.
• Develops project objectives, research designs and participates in executing project tasks for cross-functional projects and initiatives.
• Generates summaries that are useful to all levels of management in both business and technical areas

Data Management:

• Conducts applications testing (i.e. compare results from different software) to ensure that data is analyzed properly using the best software
• Checks for data integrity by examining outliers, missing values, expected ranges, skip patterns, etc.
• Develops and documents internal work processes to increase department efficiencies.

What You 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, etc.) plus 2 years of statistics or market research experience reflecting increasing levels of responsibility 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, etc.) plus 4 years of statistics or marketing 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, etc.) plus 6 years of statistics or marketing research experience reflecting increasing levels of responsibility
• Demonstrated programming experience using R.
• 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 be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this job description.

What Will Set You Apart

• Ph. D. in Statistics plus 2 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility; OR Masters Degree in Statistics plus 4 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility.
• Strong organizational skills.
• Strong oral and communication skills, listening skills, and experienced in conveying statistical concepts and results to non-technical audiences.
• Comfortable with ambiguity and working in collaborative, team-oriented environment.
• Demonstrated an ability to teach themselves advanced models.
• Experience with SQL and/or Python. •Experience reading, analyzing, and interpreting common scientific and technical journals, financial reports, and legal documents.
• Advanced skills in the use of MS Excel, MS PowerPoint and MS Word.
• Experience working within Data Lake environment, preferably AWS.

Gallo does not sponsor for employment-based visas for this position now or in the future.

Compensation

• Hiring Salary Range: $105,400 - $158,000/Year
• Actual compensation amount paid may be lower or higher to be determined by factors other than race and gender such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.

Perks & Benefits

• This position includes a competitive benefits package.
• Please click here to view our full list of benefits or click here to watch our video.

To view a full job description, please click here.

Job Requisition ID: 104904 

#LI-AJ1

MAR001

Recruiter: Adam Johnson

Gallo is an Equal Employment opportunity and Affirmative Action Employer. We do not discriminate on the basis of race, traits historically associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics in California), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, pregnancy, childbirth or related medical conditions, sexual orientation (actual or perceived), transgender status, sex stereotyping, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. 

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
 
If you need any assistance or accommodations due to a disability, please let us know at 209.341.7000.