Data Scientist

The Coca‑Cola Company

Quick summary

Work type: On-site
Location: Atlanta, GA
Salary: $109,000–$129,000 / yr
Posted: 2 days ago
Closes: Jul 16, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $119k

$96k most similar roles pay here $218k

This role pays less than 91% of similar roles. Most pay $126,800–$191,558 — the shaded band above. At the midpoint, this role pays about $119k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 9 open roles on FindRole.

Listed pay typically runs $124,600–$148,200 across 9 roles with salary data.

Most-posted roles

View all roles at The Coca‑Cola Company

At a glance

TL;DR · Data Scientist

Role Posting Log in to save

The Data Scientist role at CPS is a senior position focused on leveraging data to drive predictive analytics and decision-making across global supply chain initiatives. This individual will collaborate with business stakeholders to identify operational challenges, develop scalable analytical solutions, and deliver actionable insights through advanced modeling techniques. Key responsibilities include integrating diverse datasets, performing exploratory analysis, deploying machine learning models, and ensuring data quality and consistency. The ideal candidate has extensive experience in predictive modeling, optimization techniques, and proficiency in Python, PySpark, SQL, and cloud platforms like Azure or Databricks. This role demands strong communication skills to translate technical findings into business recommendations and a commitment to industry best practices and governance standards within the consumer products sector.

Skills

Python PySpark SQL Azure Databricks Machine Learning Statistical Analysis Predictive Modeling Data Mining Optimization Techniques CI/CD Cloud Data Platforms Technical Communication Storytelling

What you'll do

Develop and deploy predictive and machine learning models to address business challenges.
Analyze complex data from multiple domains to generate actionable insights for decision-making.
Design algorithms to solve operational issues within the supply chain and manufacturing sectors.
Manage and curate large datasets, ensuring quality and consistency across analytics projects.
Contribute to the creation of scalable analytics solutions adhering to company standards and best practices.

What we're looking for

5+ years experience in data science or analytics within consumer products or supply chain environments.
Expertise in statistical analysis, predictive modeling, and data mining techniques.
Proven ability to deliver end-to-end analytics solutions from ideation to production.
Strong proficiency with Python, PySpark, SQL, and cloud data platforms like Azure or Databricks.
Experience with optimization techniques including linear programming and operations research tools.
Excellent communication skills for translating technical concepts into business insights.
Up-to-date knowledge of industry trends and emerging technologies in data science.

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