Machine Learning Architect I — Global Impact

The Coca-Cola Company; Atlanta (GA); On-site; USD 112,000 - 136,000; Full time

Job summary

The Coca-Cola Company seeks a Machine Learning Architect 1 to turn vast data into actionable insights and drive decisions across Marketing, Finance, Technical Innovation and Supply Chain. You will build ML/AI solutions under experienced data scientists, scale models with ML OPS, and maintain DS templates in a modern analytics environment.

Responsibilities include collaborating with cross-functional teams, translating business needs into analytics, and communicating results to executives while

Qualifications

• Bachelor’s or Master’s degree in a quantitative field; Ph.D. preferred.
• Experience gathering, interpreting and translating business requirements.
• Proficient experience with Python, R, and SQL.
• Understand data structures and data transformation methods.
• Large-scale data wrangling with relational databases and/or Spark.
• 4+ years applying statistical, modeling, and optimization techniques and producing production solutions.
• Learn and apply new data science technologies; communicate results to varied audiences.
• Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Responsibilities

• Collaborate with cross-functional teams to understand business objectives.
• Translate requirements into ML/AI algorithms for insights across functions.
• Leverage large structured and unstructured data for modeling.
• Visualize, interpret data and create actionable insights.
• Communicate technical results to technical and non-technical stakeholders.
• Partner with ML OPS to scale and operationalize ML/AI use cases.
• Maintain technical documentation and reusable DS templates.

Skills

Python

R

SQL

Data wrangling

Statistical modeling

Communication

Education

Bachelor’s or Master’s degree in quantitative field

PhD preferred

Tools

GitHub

GitLab

Azure DevOps

Job description

The Coca-Cola Company seeks a Machine Learning Architect 1 to turn vast data into actionable insights and drive decisions across Marketing, Finance, Technical Innovation and Supply Chain. You will build ML/AI solutions under experienced data scientists, scale models with ML OPS, and maintain DS templates in a modern analytics environment.

Responsibilities include collaborating with cross-functional teams, translating business needs into analytics, and communicating results to executives while