Global Lead Data Scientist - AI/ML & MLOps

coke; Atlanta (GA); On-site; USD 164,000 - 193,000; Full time

Job summary

The Coca-Cola Company’s Technology organization is driving a digital transformation to connect our products to customers worldwide using world-class technology. We are seeking a senior data scientist to design, build and operationalize AI/ML solutions across Marketing, Finance, Technical Innovation and Supply Chain from ideation to production.

You will explore large structured and unstructured data, translate business requirements into analytics, visualize insights for executives, and mentor

Qualifications

• 8+ years of experience in data science and ML in enterprise settings.
• Strong Python, SQL, R and statistical modeling skills.
• Experience with large-scale data wrangling and production deployments.
• Ability to translate business needs into analytics solutions.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Translate business requirements into ML/AI solutions and actionable insights for multiple functions.
• Develop, maintain, and scale end-to-end AI/ML analytics products from ideation to production.
• Visualize data and create reports for executives and stakeholders.
• Mentor junior data scientists and share best practices across the organization.

Skills

Python

SQL

R

Statistical modeling

Data wrangling

Communication

Data visualization

Education

Bachelor's or Master's in a quantitative field

PhD preferred

Tools

Azure Databricks

Cosmos DB

Azure Synapse

Azure ML

GitHub / GitLab / Azure DevOps

Job description

The Coca-Cola Company’s Technology organization is driving a digital transformation to connect our products to customers worldwide using world-class technology. We are seeking a senior data scientist to design, build and operationalize AI/ML solutions across Marketing, Finance, Technical Innovation and Supply Chain from ideation to production.

You will explore large structured and unstructured data, translate business requirements into analytics, visualize insights for executives, and mentor