Data Scientist - RH

  • Full-Time
  • Rosemont, IL
  • Reyes Holdings
  • Posted 3 years ago – Accepting applications
Job Description
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 to create insights enabling our businesses to make quicker and better decisions. 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.
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 discipline.
3+ 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 and Natural Language Processing
Prior professional experience in food and beverage distribution

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. As an Equal Opportunity Employer, Reyes Holdings companies will recruit and select applicants for employment solely on the basis of their qualifications. Our Practices and Procedures, including those relating to wages, benefits, transfers, promotions, terminations and self-development opportunities, will be administered without regard to race, color, religion, sex, sexual orientation and gender identity, age, national origin, disability, or protected veteran status and all other classes protected by the Federal and State Government. Drug Free Employer.
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