Director of Supply Chain Data Science

0101 Coca-Cola North America; Atlanta (GA); On-site; USD 164,000 - 193,000; Full time

Job summary

The Coca-Cola Company is seeking a data scientist to build analytical products for Supply Chain Digital Enablement in North America. You will translate complex business problems into scalable models, optimization tools, simulations, and AI-enabled decision support, partnering with cross-functional teams to deliver measurable impact across planning, inventory, transportation, and manufacturing.

You will lead technical direction, establish reusable architecture, MLOps, evaluation, and governance

Qualifications

• 7+ years applying data science, machine learning, optimization, forecasting, or advanced analytics in a business, digital, operations, or supply-chain environment.
• Demonstrated technical leadership delivering complex data-science products from problem definition through production adoption and measurable business impact.
• Advanced Python and SQL skills and experience designing scalable data, model, and ML architecture patterns.

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.
• Define technical strategy, reference architectures, and modeling standards for priority supply-chain data-science products.

Skills

Python

SQL

Forecasting

Optimization

NLP

Deep learning

MLOps

Experimentation

Communication

Leadership

Tools

CI/CD

Model registries

Job description

The Coca-Cola Company is seeking a data scientist to build analytical products for Supply Chain Digital Enablement in North America. You will translate complex business problems into scalable models, optimization tools, simulations, and AI-enabled decision support, partnering with cross-functional teams to deliver measurable impact across planning, inventory, transportation, and manufacturing.

You will lead technical direction, establish reusable architecture, MLOps, evaluation, and governance