Senior Decision Scientist

Position Responsibilities: Focuses on advanced analytics, experimentation, and decision modeling to guide business strategy Translates complex business questions into analytical frameworks and delivers insights that improve forecasting, pricing, marketing effectiveness, and operational performance Develops advanced analytics and predictive models to support business decisions Designs/runs experiments and A/B tests and performs statistical analysis, causal inference, and forecasting Communicates insights clearly to business stakeholders Collaborates with applied AI and data engineering teams to integrate analytics into operational systems Travel up to 25%. Other projects or duties as assigned Required Education and Experience: Bachelor’s Degree with 4 to 6 years of experience in analytics, statistics, economics, or data science or High School Diploma/General Education Degree (GED) and 7 to 9 plus years of experience in analytics, statistics, economics, or data science Proficiency in Python, R, SQL, or similar analytical tools Work experience in AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning Experience with machine learning/AI via frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. Experience with Snowflake, Databricks, Azure ML Cloud Services Preferred Education and Experience: Master’s Degree Experience in consumer-packaged goods or supply chain Benefits At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings. Equal Opportunity Employee & Physical Demands Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments. Background Check and Drug Screening Offers of employment are contingent upon successful completion of a background check and drug screening. Pay Transparency Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.

Position Responsibilities: Focuses on advanced analytics, experimentation, and decision modeling to guide business strategy Translates complex business questions into analytical frameworks and delivers insights that improve forecasting, pricing, marketing effectiveness, and operational performance Develops advanced analytics and predictive models to support business decisions Designs/runs experiments and A/B tests and performs statistical analysis, causal inference, and forecasting Communicates insights clearly to business stakeholders Collaborates with applied AI and data engineering teams to integrate analytics into operational systems Travel up to 25%. Other projects or duties as assigned

Required Education and Experience: Bachelor’s Degree with 4 to 6 years of experience in analytics, statistics, economics, or data science or High School Diploma/General Education Degree (GED) and 7 to 9 plus years of experience in analytics, statistics, economics, or data science Proficiency in Python, R, SQL, or similar analytical tools Work experience in AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning Experience with machine learning/AI via frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. Experience with Snowflake, Databricks, Azure ML Cloud Services Preferred Education and Experience: Master’s Degree Experience in consumer-packaged goods or supply chain