Director, AI-Driven Supply Chain Analytics

Coca-Cola; Georgia; On-site; USD 120,000 - 170,000; Full time

Job summary

Coca-Cola's Supply Chain Digital Enablement team seeks a Data Scientist to build analytical products that improve how supply-chain teams decide. You will partner with Supply Chain, Operations, Product, Engineering, Data, Commercial, and Finance to translate ambiguous business problems into scalable models and AI-enabled decision support.

This role combines statistical analysis, predictive modeling, optimization, simulation, and modern AI techniques.

Qualifications

• 7+ years applying data science, ML, optimization, or analytics in business or supply-chain environments.
• Proven technical leadership delivering complex data-science products from problem definition through production adoption.
• Advanced Python and SQL; scalable data, model, and ML architecture patterns.
• Deep expertise in predictive modeling, optimization, simulation, NLP, deep learning, or agentic systems.
• Experience designing MLOps including CI/CD, model registries, testing, monitoring, drift detection, retraining, and incident response.
• Ability to evaluate algorithmic complexity, trade-offs, scalability, explainability, and operating cost.
• Proven ability to influence senior stakeholders, guide cross-functional delivery, and mentor other data scientists.

Responsibilities

• Develop, evaluate, and productionize predictive, prescriptive, optimization, simulation, and NLP models for supply-chain decisions
• Translate planning, inventory, transportation, manufacturing, network, and service problems into clear analytical requirements, model approaches, and measurable outcomes
• Design ML architectures and rapid prototypes; partner with Engineering and Data teams to scale successful solutions into reliable products
• Apply optimization and simulation methods, evaluating algorithmic complexity, performance, scalability, and trade-offs
• Apply statistical analysis, forecasting, causal methods, and experimental design to evaluate interventions and quantify business impact
• Partner with data engineering to ensure trustworthy data architecture, scalable pipelines, data-quality foundations
• Build model lifecycle practices including reproducibility, versioning, testing, deployment, monitoring, drift detection, retraining, and documentation
• Evaluate and apply deep learning, large language models, NLP, and agentic systems where they create measurable value with appropriate controls and human oversight
• Apply AI governance, privacy, security, fairness, explainability, and responsible-AI principles throughout development and deployment
• Communicate technical choices, insights, limitations, and recommendations clearly to stakeholders
• Contribute to cross-functional software lifecycle management from discovery to deployment and support
• Define technical strategy, reference architectures, and modeling standards for priority data-science products
• Mentor data scientists and review technical designs, model quality, deployment readiness, and responsible-AI controls

Skills

Data science leadership

Python & SQL proficiency

ML/AI modeling

MLOps practices

Model governance

Stakeholder communication

Supply chain problem solving

Job description

Coca-Cola's Supply Chain Digital Enablement team seeks a Data Scientist to build analytical products that improve how supply-chain teams decide. You will partner with Supply Chain, Operations, Product, Engineering, Data, Commercial, and Finance to translate ambiguous business problems into scalable models and AI-enabled decision support.

This role combines statistical analysis, predictive modeling, optimization, simulation, and modern AI techniques.