Manager, Machine Learning Ops

The Coca-Cola Company

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

Posted 11/12/2026full-timeAtlanta • Georgia • United StatesJuniorMid-Level💰 $112,000 - $136,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics, leveraging programming languages such as Python, R, and SQL to develop machine learning algorithms and actionable insights. Proficient in communicating complex analytical concepts to diverse stakeholders while maintaining a focus on results and collaboration.

Highest-signal resume keywords

Machine Learning AlgorithmsData VisualizationStatistical Modeling TechniquesPython ProgrammingSQL Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical AnalysisHypothesis TestingDimensionality ReductionMixed-Integer ProgrammingSupervised LearningBayesian ModelingForecastingUnsupervised ClusteringData Transformation

Soft Skills

Communication SkillsProblem-Solving SkillsAttention to DetailCollaborationAdaptability

Tools & Technologies

GitHubGitLabAzure DevOpsCI/CD PrinciplesData Management Technologies

Industry Keywords

Data-Driven InsightsCross-Functional CollaborationTechnical DocumentationFast-Paced EnvironmentQuantitative Analysis

Tech Stack

Tools & technologies

AzurePythonSQL

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 producing 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
Partner with ML Ops to scale and operationalize ML and AI use cases
Maintain technical documentation according to agreed standards
Build and maintain a library of data science solutions, reusable templates, algorithms, and supporting code
Apply CI/CD principles to automate and improve deployment repeatability
Keep current with industry trends and developments in data science and analytics

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, or another quantitative discipline
Experience gathering, interpreting, and translating business requirements
2+ years’ experience with analytical and programming languages and packages such as Python, R, and SQL
Understanding of data structures and common data transformation methods
Knowledge and experience applying statistical, modeling, and mathematical optimization techniques, including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning, Bayesian modeling, forecasting, and unsupervised clustering, and putting solutions into production
Aptitude for learning and applying new technologies related to Data Science and Data Management
Ability to communicate complex analytical concepts and results to technical and non-technical audiences
Experience with code version control platforms such as GitHub, GitLab, or Azure DevOps
Ability to handle multiple competing priorities in a fast-paced, deadline-driven environment
Strong attention to detail and problem-solving skills
Ability to work collaboratively
Innovative, adaptable, and self-directed
Results-oriented with a delivery focus
Presentation skills for communicating technical topics to business audiences
Ability to collaborate across organizational levels
Ability to lead discussions toward defined outcomes
Currently authorized to work full-time in the United States without requiring employer sponsorship

Benefits

Comp & perks

Annual incentive reference value of 15%
Medical, financial, and/or other benefits
Opportunity to work with an award-winning innovation and technology team
Exposure to global technology leaders and emerging technologies
Agile work environment with empowerment to experiment, iterate, and innovate