Overview

Come join the largest beer distributor in the United States and be a part of our Performance Promise where we live out our company’s purpose of connecting customers, consumers and brands every day, everywhere we operate.

At Reyes Beverage Group, we’re proud to be the largest beer distributor in the United States — and distribute a growing number of spirits brands, too. We deliver over 325 million cases annually to over 115,000 retail accounts across the nation. We are committed to being the distributor of choice by providing unparalleled service and continually striving to grow our customers’ profitability.

Are you ready to start or propel your beer career with the largest and fastest growing distributor? We represent the best brands in the country including Modelo, Miller Lite, Coors Light, Corona, White Claw, Heineken, Truly, Pacifico, Yuengling, Lagunitas, Blue Moon, and more! We offer competitive pay and benefits, best-in-class training, and advancement opportunities that will turn this job into a career. Tap into your talent by applying today!

Responsibilities

Pay Transparency Statement:

The compensation philosophy reflects the Company’s reasonable expectation at the time of posting. We consider a number of factors when making individual compensation decisions including, but not limited to, skill sets, experience and training, and other business needs. This role may also be eligible to participate in a discretionary incentive program, subject to the rule governing the program. 

Position Summary:

The Data Scientist has a solid understanding of advanced analytics and will be responsible for refining existing statistical/machine learning models and developing new ones to support business. The Data Scientist will partner with direct team members as well as cross-functional partners and decision makers. This person’s primary tasks will be to develop, refine, deploy, and productionize impactful data science projects for business users.

Position Responsibilities may include, but not limited to: 

• Identify best or most applicable analytical techniques for a given business problem.
• Develop and deploy statistical and machine learning models to address business problems using Python and others.
• Maintain and refine existing models and related processes, plus various data-driven non-model processes.
• Utilize statistical or time-series models to make predictions on future outcomes in multiple scenarios.
• Implement models and create processes to monitor their performance, including input data integrity.
• Employ data visualization tools and codes where appropriate via Power BI and others.
• Partner with IT / BI / Data teams to ensure data used for modeling accurately reflects business reality.
• Effectively communicate model approaches, outputs, and findings to technical and non-technical audiences.
• Document projects including business objectives, data gathering/processing, approaches and algorithms, and detailed set of results and analytical metrics.
• Ensure modeling processes always conform to IT security standards.
• Other projects or duties as assigned.

Qualifications

Required Skills and Experience: 

• Bachelor’s Degree in Analytics, Data Science, Operations Research, Statistics, or other related quantitative discipline.
• 2 years’ experience in data science, advanced analytics, or quantitative/computational functions.
• Deployed regression, time-series, and machine learning models in Python or other languages, for a variety of business problems.
• Working knowledge in analytical techniques such as multivariate regression, time series, classification methods, Bayesian methods, or neural networks.
• Experiences in databases and SQL and in big data/cloud platforms such Azure, Databricks, Snowflake, and Spark.
• Experiences in data visualization tools such as Power BI for reporting model outputs, data trends, business issues, or exceptions.
• This position must pass a post-offer background and drug test.

Preferred Skills and Experience: 

• 3 years’ experience in data science or similar functions.
• Experience in Blue Yonder.
• Experience in Git for version control and in lifecycle management tools such as MLflow.
• Productionized large-scale ML models via CI/CD pipelines and distributed computing.
• Experience in consumer-packaged goods or distribution/wholesale.

Physical Demands and Work Environment:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Due to the nature of our business in regard to such things as delivery schedules, order inputs, selection, and Department of Transportation Hours of Service, overtime, attendance and punctuality are essential job functions. Should an individual in this classification not be able to adhere to this requirement due to a disability, they should contact their Human Resources department to see what, if any, reasonable accommodation may be made.