Data Scientist - Reyes Holdings

Reyes Holdings is a global leader in the production and distribution of food and beverage products. Our five business units service client accounts across 43 states in the United States and 19 countries worldwide – meaning the sun never sets on Reyes Holdings. We continue as a family-owned and operated business, true to how we began in 1976. We’re known for excellence, motivated by safety, and rooted in relationships. Our top priority is our people – all 33,000+ of our employees. We’ve created a workplace where our diverse team has the ability to thrive, challenge one another to continually reach higher, and support each other on our Journey Forward together.

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:

As a core member of the Reyes holdings Analytics team, the Data Scientist will help build our next generation of advanced analytics solutions using AI. The Data Scientist will partner with direct team members as well as cross-functional partners and decision makers. This person’s primary focus will be to develop, refine, deploy, and productionize impactful data science projects to business users.

Position Responsibilities may include, but not limited to:

• Identify the best or most applicable analytical techniques (AI/ML, Automation, Optimization) for a given business problem.
• Lead and be accountable for the design and development of ML algorithms to solve business problems.
• Implement modular, readable code with intuitive variable and function names in accordance with team’s best practices.
• Maintain and refine existing models and related processes.
• Engineer new features by using business acumen to improve analytical models.
• 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 (e.g., Power BI, Tableau etc.)
• Partner with Data Analytics teams and IT / BI / Data teams to ensure data used for modeling accurately reflects business reality.
• Effectively communicate model approaches, outputs and findings to stakeholders and various teams
• Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
• Ensure modeling processes always conform to data security standards.
• Other projects or duties as assigned.

Required Skills and Experience:

• Bachelor’s degree in computer science, software engineering, applied mathematics, or similar field with 3-5+ years’ experience in the design and delivery of machine learning models. Or HS Diploma with 6+ years’ experience in the design and delivery of machine learning models.
• Deployed regression, time-series, and machine learning models with R and Python using Azure DevOps.
• Working knowledge in analytical techniques such as multivariate / non-linear regression, time series, classification methods, Bayesian methods, and neural networks. 
• Experiences in databases and SQL, and in big data/cloud platforms such Azure, snowflake and Spark.
• Skilled with data visualization tools such as Power BI and Tableau, for reporting model outputs, data trends, business issues, or exceptions.
• Demonstrated curiosity and self-direction - willingness to advise team members and also to learn new techniques.
• This position must pass a post-offer background and drug test.

Preferred Skills and Experience:

• Master’s degree in Computer Science, Software Engineering, Applied Mathematics, or similar discipline.
• Experience with Image Recognition, Large Language Models and Natural Language Processing.
• Experience with version control such as GitHub.
• Experience with Python virtual environments.
• Prior professional experience in food and beverage distribution.
• Experience with ML-Ops/Dev-Ops.

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.