Senior ML Architect: Lead End-to-End AI Solutions

Coca-Cola HBC

Atlanta, Northern (GA, KY)

Hybrid

USD 164,000 - 193,000

Full time

3 days ago
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Benefits offered by this job

Relocation provided
Annual incentive 30%

Job summary

The Coca-Cola Company is seeking an experienced Principle Data Scientist in Atlanta to advance its analytics capabilities. You will drive end-to-end ML/AI initiatives, translate business needs into data-driven solutions, and collaborate with Marketing, Finance, and Supply Chain teams globally.

You will work with large-scale data, mentor junior data scientists, and communicate results to executives. A strong Azure analytics background and 8+ years of experience are required.

Qualifications

  • 8+ years of experience applying statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, MIP, supervised learning, Bayesian modeling, forecasting, and clustering.
  • Proficient experience with Python, R, and SQL.
  • Experience with large-scale data wrangling and relational databases and/or Spark.
  • Experience coordinating with cross-functional teams on end-to-end data science solutions.
  • Experience with Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks).
  • Ability to communicate complex analytics to technical and non-technical audiences.

Responsibilities

  • Collaborate with cross-functional teams to translate business requirements into ML/AI solutions.
  • Develop end-to-end analytics models and productionize them with CI/CD practices.
  • Mentor junior data scientists and maintain technical documentation.
  • Present insights and recommendations to executive stakeholders.

Skills

Python
R
SQL
Machine learning
Communication

Education

Bachelor's or Master's in quantitative field
PhD preferred

Tools

Azure Databricks
GitHub
Azure DevOps
Spark

Job description

The Coca-Cola Company is seeking an experienced Principle Data Scientist in Atlanta to advance its analytics capabilities. You will drive end-to-end ML/AI initiatives, translate business needs into data-driven solutions, and collaborate with Marketing, Finance, and Supply Chain teams globally.

You will work with large-scale data, mentor junior data scientists, and communicate results to executives. A strong Azure analytics background and 8+ years of experience are required.

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