Data Scientist

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

All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.

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:

July 15, 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 to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Pay Range:United States of America: 0 USD - 0 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.

Annual Incentive Reference Value Percentage:15

Annual 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 - 20

Long-term Incentive reference value is a market-based competitive value for your role.