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The Coca-Cola Company
The Coca-Cola Company
BeverageFood & BeverageSustainability
The Coca-Cola Company is a global beverage business founded in 1886, with products spanning sparkling drinks, water and other hydration options, coffee and tea, juices, dairy beverages, and ready-to-drink alcohol products. Its portfolio includes more than 200 brands, sold across over 200 countries. The company’s work also covers water stewardship, sustainable agriculture, product sugar reduction, and community initiatives supported through The Coca-Cola Foundation. With a large international workforce and hiring opportunities across markets, The Coca-Cola Company highlights inclusion, accessibility, and social impact as part of its workplace approach.
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Senior Manager, Data Science and Agentic AI – Mexico City

Lead predictive modeling and agentic AI development on Coca-Cola’s Azure and Microsoft Fabric platforms. Scale data-driven decisions across LATAM commercial and enterprise functions.

MXMexicoOn-siteFull-timeSeniorEnglish RequiredData Scientist
AzureCloudPandasPythonScikit-LearnSQL

Description

  • Create and scale data science models and AI agents that convert LATAM data into actionable decisions
  • Develop predictive and prescriptive models for forecasting, elasticity, segmentation, and next-best-action recommendations
  • Move analytical use cases from proof of concept to production through experimental design, feature engineering, validation, and impact measurement
  • Examine complex, high-volume datasets to uncover trends, drivers, risks, and optimization opportunities
  • Build LLM-powered assistants, copilots, and multi-step agentic workflows
  • Use RAG, prompt and context engineering, tool and function calling, orchestration, multi-agent architectures, and semantic or ontology grounding
  • Deploy and operate agents with Azure AI Foundry, Microsoft Fabric, Azure ML, and the Nexus AI platform
  • Version agents and integrate them into business processes
  • Test and strengthen agents with evaluation sets and guardrails while monitoring accuracy, hallucinations, bias, drift, and token costs
  • Implement Responsible AI and governance practices covering lineage, auditability, and safe, compliant use
  • Collaborate with Commercial, Marketing, Finance, Supply Chain, Strategy, data engineering, and governance teams
  • Apply MLOps methods, including CI/CD, monitoring, and reproducible workflows
  • Turn technical findings into business narratives and recommendations for senior stakeholders
  • Mentor analysts, develop reusable patterns, and encourage experimentation and evidence-based decisions

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Analytics, or a related discipline
  • At least five years of experience in data science, machine learning, or advanced analytics, including delivering production models
  • Hands-on experience developing generative AI and agentic applications using LLMs, RAG, prompt and context engineering, tool calling, and agent orchestration
  • Strong foundations in Python, pandas, scikit-learn, a modern deep learning or LLM framework, SQL, statistics, and experimentation
  • Experience with cloud data and AI platforms, preferably Azure, including Azure ML and Azure AI Foundry or OpenAI
  • Experience with Microsoft Fabric or Databricks, MLOps, and vector databases
  • Knowledge of Responsible AI and governance practices, including evaluation, guardrails, bias and drift monitoring, lineage, and cost management
  • Strong communication skills and commercial understanding
  • Ability to work across matrixed global teams while managing multiple priorities in a fast-paced setting
  • Familiarity with the beverage and system landscape, including RGM, Commercial, and Revenue, is advantageous
  • A master’s degree is advantageous
  • Knowledge of the EU AI Act and NIST AI RMF is advantageous

Benefits

  • Purpose-led work influencing LATAM growth and decision-making
  • Opportunity to work with Global DTS, Europe, and leading bottlers
  • Career development as a data science and agentic AI leader
  • Participation in a globally connected organization
  • Culture of continuous learning
  • Inclusive workplace guided by the company’s purpose

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