Senior Analytics & Experimentation Scientist

Reyes Coca-Cola Bottling; Niles (IL); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical Coverage

Dental Coverage

Vision Coverage

Paid Time Off

Retirement Benefits

Health Screenings

Job summary

Reyes Coca-Cola Bottling in the United States (Illinois) seeks a data analytics professional to guide business strategy through advanced analytics and predictive modeling. The role emphasizes translating complex questions into insights for forecasting, pricing, and marketing effectiveness.

The position requires proficiency in Python, R, SQL, and AI/ML techniques, with collaboration across AI and data engineering teams to deploy analytics into operations. Some travel is involved.

Qualifications

• Bachelor’s Degree with 4 to 6 years of experience in analytics, statistics, economics, or data science
• High School Diploma/General Education Degree (GED) with 7 to 9+ years of analytics experience
• Master’s Degree preferred in a related field

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

Job description

Reyes Coca-Cola Bottling in the United States (Illinois) seeks a data analytics professional to guide business strategy through advanced analytics and predictive modeling. The role emphasizes translating complex questions into insights for forecasting, pricing, and marketing effectiveness.

The position requires proficiency in Python, R, SQL, and AI/ML techniques, with collaboration across AI and data engineering teams to deploy analytics into operations. Some travel is involved.