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.