Senior Supply Chain Data Scientist & AI Strategist

The Coca-Cola Company; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

The Coca-Cola Company is seeking a Data Scientist for its Supply Chain Digital Enablement group in Atlanta. You will build analytical products, translate complex business problems into scalable models, and partner with cross-functional teams to deliver AI-enabled decision support across planning, inventory, and service domains.

Role combines predictive modeling, optimization, simulation, NLP, and modern AI techniques, with emphasis on governance, reproducibility, and measurable business impact.

Qualifications

• 7+ years applying data science, machine learning, optimization, forecasting, or analytics in business or supply-chain environments.
• Demonstrated technical leadership delivering complex data-science products from problem to production.
• Advanced Python and SQL skills with scalable data/model architectures.

Responsibilities

• Develop, evaluate, and productionize predictive, prescriptive, optimization, and NLP models for supply-chain decisions.
• Translate planning and service problems into analytical requirements and measurable outcomes.
• Design ML architectures and prototype scalable solutions with Engineering/Data teams.
• Apply optimization and simulation methods assessing performance, scalability, and trade-offs.
• Lead model governance, evaluation, and responsible-AI practices across projects.
• Mentor data scientists and review designs, model quality, and deployment readiness.

Skills

Python

SQL

MLOps

Predictive modeling

Optimization

NLP

Deep learning

Agentic systems

Leadership

Stakeholder influence

Experimental design

Communication

Data architecture

Job description

The Coca-Cola Company is seeking a Data Scientist for its Supply Chain Digital Enablement group in Atlanta. You will build analytical products, translate complex business problems into scalable models, and partner with cross-functional teams to deliver AI-enabled decision support across planning, inventory, and service domains.

Role combines predictive modeling, optimization, simulation, NLP, and modern AI techniques, with emphasis on governance, reproducibility, and measurable business impact.