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About the Role

The Data Scientist transforms Commercial Product Supply (CPS) data into actionable insights, enabling predictive and data-driven decision-making. This role partners with stakeholders to understand challenges, identify data sources, and deliver scalable analytics solutions. Responsibilities include data preparation, analysis, model development and deployment, and translating findings into business recommendations. The role contributes to building reusable analytics assets and best practices, supporting global CPS initiatives by driving efficiency, improving decision quality, and enabling standardized solutions. Key outcomes include delivering balanced analytics solutions, generating actionable insights, and adhering to company standards.

Responsibilities

• Partner with subject matter experts and business stakeholders to define business problems and translate them into structured analytics use cases with clear objectives and measurable outcomes.
• Integrate and analyze data across multiple domains, including finance, engineering, operations, supply chain, IT, and external data sources.
• Perform exploratory data analysis to identify patterns, trends, and opportunities for improvement.
• Develop, validate, and deploy predictive and machine learning models.
• Design and implement algorithms to address business and operational challenges.
• Manage and curate analytics datasets, ensuring data quality and consistency.
• Identify and resolve data anomalies and inconsistencies.
• Contribute to the development of data science methodologies, frameworks, and best practices.
• Document processes, models, and standards to support scalability and reuse across teams.

Requirements

• 5+ years of experience in data science, analytics, or a related field, preferably within consumer products, manufacturing, or supply chain environments.
• Strong expertise in statistical analysis, predictive modeling, and data mining techniques.
• Proven track record delivering end-to-end analytics solutions from ideation to production.
• Strong stakeholder management and ability to influence across functions.
• Excellent communication skills with the ability to translate complex concepts into business insights.
• Strong communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders.
• Up to date with industry trends and emerging technologies in data science and analytics.
• Creative problem solver with a strong analytical mindset.
• Must be currently authorized to work in the United States on a full-time basis and not require The Coca-Cola Company's sponsorship.

Skills

• Machine Learning
• Advanced Analytics
• Optimization techniques (e.g., linear programming, ILP, OR-tools)
• Python
• PySpark
• SQL
• Cloud data platforms (Azure, Databricks, Fabric or similar)
• Analytics
• Databricks Platform
• Data Driven
• Data Transformation
• Microsoft Azure
• Storytelling
• Technical Communication

Location

• Atlanta, United States of America
• Travel up to 25%

Work Type

• Full-time

Experience Level

• 5+ years of experience

Education Level

• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
• Master’s degree preferred

Salary/Compensations

• 109,000 USD - 129,000 USD

Benefits

• Full range of medical benefits
• Full range of financial benefits
• Other benefits

About the Company

• The Coca-Cola Company nurtures an inclusive culture grounded in its purpose to refresh the world and make a difference.
• The company operates with a growth mindset, embracing continuous learning and focusing on curious, empowered, inclusive, and agile behaviors.
• The Coca-Cola Company is a global community of passionate employees, with innovation at its heart since 1886.
• The global business system includes The Coca-Cola Company (TCCC), its subsidiaries, and 225 bottling partners worldwide.

Equal Opportunity

• The Coca-Cola Company is an Equal Opportunity Employer and does not discriminate based on race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, veteran status, disability, or any other federal, state, or local protected class.