Position Overview
The Data Scientist plays a key role in transforming CPS (Commercial Product Supply) data into actionable insights that enable predictive and data-driven decision-making. This role partners with business and technology stakeholders to understand operational challenges, identify the right data sources and analytical approaches, and deliver scalable analytics solutions.
The Data Scientist will prepare and analyze data, develop and deploy predictive and machine learning models, and translate findings into clear business recommendations. In addition, this role contributes to building reusable analytics assets and best practices that support long-term capability development across CPS.
This role supports global CPS initiatives by driving efficiency, improving decision quality, and enabling standardized, scalable analytics solutions.
Key outcomes for this role include:
Delivery of analytics solutions that balance business value, cost, speed, and scalability
Generation of actionable insights that support business decision-making
Adherence to company standards, governance, and industry best practices
Key Duties & Responsibilities
Partner with subject matter experts and business stakeholders to understand processes, 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
Educational Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
Master's degree preferred
Previous Work Experience & Skills
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 experience with:
Machine Learning & Advanced Analytics
Optimization techniques (e.g., linear programming, ILP, OR-tools)
Python / PySpark / SQL
Experience with cloud data platforms (Azure, Databricks, Fabric or similar)
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
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.Analytics, Databricks Platform, Data Driven, Data Transformation, Microsoft Azure, Storytelling, Technical Communication
Pay Range:
United States of America: 109,000 USD - 129,000 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
June 23, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision (https://www.coca-colacompany.com/company/purpose-and-vision) to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Pay Range:United States of America: 0 USD - 0 USDBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.Annual Incentive Reference Value Percentage:15Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.Long-term Incentive Reference Value Percentage:0 - 20Long-term Incentive reference value is a market-based competitive value for your role
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
