Senior Data Scientist

The Coca-Cola Company

. Collaborate with cross-functional teams to understand business requirements and objectives .

Posted 11/9/2026full-timeAtlanta • Georgia • United StatesSenior💰 $112,000 - $136,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating business requirements into data-driven ML and AI algorithms, leveraging large datasets for actionable insights across various functional areas. Proficient in statistical modeling, data wrangling, and communicating complex analytical concepts to diverse audiences.

Highest-signal resume keywords

Python ProficiencyStatistical Modeling TechniquesData Wrangling with SparkCI/CD Principles ApplicationExperience with GitHub or GitLab

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsData VisualizationSQL ProficiencyR ProficiencyHypothesis TestingDimensionality ReductionMixed-Integer ProgrammingSupervised LearningBayesian ModelingUnsupervised Clustering

Soft Skills

Communication SkillsProblem-Solving SkillsAttention to DetailCollaboration SkillsSelf-Direction

Tools & Technologies

Azure DevOpsGitHubGitLabCI/CD ToolsAnalytical Packages

Industry Keywords

Data ScienceData ManagementQuantitative AnalysisBusiness Requirements GatheringTechnical Documentation

Tech Stack

Tools & technologies

AzurePythonSparkSQL

About the role

Key responsibilities & impact

Collaborate with cross-functional teams to understand business requirements and objectives
Translate business requirements into data-driven ML and AI algorithms
Produce actionable insights for Marketing, Finance, Technical Innovation, Supply Chain, and other functional areas globally
Leverage large structured and unstructured datasets for modeling
Visualize and interpret data and create reports and actionable insights
Communicate complex analytical work to technical and non-technical stakeholders, including executive management
Partner with MLOps to scale and operationalize ML and AI use cases
Maintain technical documentation according to agreed standards
Build and maintain reusable data science solutions, templates, algorithms, and supporting code
Apply CI/CD principles to automate and improve deployment repeatability
Keep abreast of data science and analytics industry trends and developments

Requirements

What you’ll need

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
Experience gathering, interpreting, and translating business requirements
Proficient experience with Python, R, SQL, and analytical packages
Understanding of data structures and data transformation methods
Demonstrated experience with large-scale data wrangling using relational databases and/or Spark
4+ years’ experience applying statistical, modeling, and mathematical optimization techniques and putting solutions into production
Experience with hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning, Bayesian modeling, forecasting, and unsupervised clustering
Strong aptitude for learning and applying new Data Science and Data Management technologies
Ability to communicate complex analytical concepts and results to technical and non-technical audiences
Experience with GitHub, GitLab, or Azure DevOps
Ability to manage multiple competing priorities in a fast-paced, deadline-driven environment
Strong attention to detail and problem-solving skills
Ability to work collaboratively and be self-directed
Presentation and communication skills for business audiences
Ability to collaborate across organizational levels
Must be currently authorized to work full-time in the United States
Must not require The Coca-Cola Company’s sponsorship to continue working legally in the United States
Ph.D. preferred

Benefits

Comp & perks

Annual incentive reference value of 15%
Medical, financial, and/or other benefits
Innovation and Technology: work with an award-winning team on the cutting edge of innovation
Exposure to World Class Leaders and emerging technologies and techniques
Agile work environment with empowerment to experiment, iterate, and innovate
Inclusive growth culture
Continuous learning opportunities
Equal Opportunity Employer