Senior Data Scientist

The Coca-Cola Company is seeking a Senior Data Scientist to help turn large-scale structured and unstructured data into machine learning and AI models, insights, and decision support used across the organization. This Atlanta-based (onsite) role partners with cross-functional teams and supports the operationalization of ML/AI use-cases through collaboration with ML Ops. You will also present complex analytical work to both technical and non-technical audiences, including executive management.

Role overview

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Translate business needs into data-driven solutions by developing ML and AI algorithms that generate actionable insights for functional areas such as Marketing, Finance, Technical Innovation, and Supply Chain (among others) across the Globe.
• Use a range of large structured and unstructured datasets to derive modeling-ready information sets.
• Visualize and interpret data, and create reports that lead to actionable insights.
• Communicate complex analytics to technical and non-technical stakeholders, including executive management.
• Partner with ML Ops to scale and operationalize ML/AI use-cases.
• Maintain technical documentation in line with agreed standards.
• Build and maintain a reusable library of data science solutions, templates, algorithms, and supporting code.
• Apply CI and CD principles to automate and improve deployment repeatability.

What you bring

• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research, or another quantitative discipline.
• Ph.D. preferred.
• Experience gathering, interpreting, and translating business requirements.
• Proficiency with analytical and programming languages and packages including Python, R, and SQL.
• Ability to understand data structures and common methods used in data transformation.
• Demonstrated large-scale data wrangling experience using relational databases and/or Spark.
• 4+ years applying statistical methods, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering, with experience taking solutions into production.
• Strong aptitude for learning and applying new technologies related to data science and data management.
• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
• Experience with code version control platforms such as GitHub, GitLab, or Azure DevOps.

Technologies

• Python, R, SQL, Spark
• GitHub, GitLab, Azure DevOps
• CI, CD
• Mixed-Integer Programming (MIP)

Additional role details

• Location: Atlanta, GA (onsite), United States of America
• Travel: 0% - 25%
• Relocation: No
• End date: August 20, 2026

Compensation and incentives

• Salary range: USD 112,000 - 136,000 per year
• Annual incentive reference value: 15%
• Long-term incentive reference value: 0 - 20

How the team works

• Agile work environment that aims to remove barriers so you can experiment, iterate, and innovate.
• Opportunity to collaborate with world-class technology leaders and expand your network and exposure to emerging technologies and techniques.
• Culture grounded in a growth mindset, continuous learning, and behaviors including curious, empowered, inclusive, and agile.

Equal opportunity and work authorization

• Equal Opportunity Employer statement: the company does not discriminate based on protected characteristics including race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, veteran status, disability, or other protected classes.
• Sponsorship/work authorization: the company will not offer sponsorship for employment status (including H1-B and other employment-based nonimmigrant visas). Applicants must be currently authorized to work in the United States full-time and must not require sponsorship to continue working legally.