Senior Data Scientist: AI, ML & Global Impact

The Coca-Cola Company

Atlanta (GA)

On-site

USD 110,000 - 170,000

Full time

13 days ago
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Job summary

The Coca-Cola Company’s Technology organization is driving a digital transformation to enable data-driven decisions and scalable AI across global functions.

The role focuses on translating business requirements into data-driven ML/AI solutions, collaborating with cross-functional teams in Marketing, Finance, Technical Innovation and Supply Chain, and delivering actionable insights with robust data pipelines and reproducible code.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field (data science, CS, statistics, economics).
  • Experience gathering, interpreting and translating business requirements.
  • Proficient in Python, R, SQL and data processing tools.
  • Experience with large-scale data wrangling and Spark.
  • Strong communication of analytical results to diverse audiences.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements.
  • Translate requirements into data-driven ML/AI solutions for multiple functions.
  • Work with large structured and unstructured data to derive insights.
  • Visualize data and create reports for stakeholders, including executives.
  • Partner with ML Ops to scale and deploy ML/AI use-cases.
  • Maintain technical documentation and reusable code libraries.
  • Keep up with industry trends in data science and analytics.

Skills

Python
R
SQL
Spark
Machine Learning
Data Visualization

Education

Bachelor’s or Master’s in a quantitative field

Tools

GitHub
GitLab
Azure DevOps

Job description

The Coca-Cola Company’s Technology organization is driving a digital transformation to enable data-driven decisions and scalable AI across global functions.

The role focuses on translating business requirements into data-driven ML/AI solutions, collaborating with cross-functional teams in Marketing, Finance, Technical Innovation and Supply Chain, and delivering actionable insights with robust data pipelines and reproducible code.

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