Coca-Cola

Data Scientist

Coca-Cola$109K — $129K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field; Master's degree preferred
  • 5+ years of experience in data science or analytics, especially in consumer products or supply chain
  • Expertise in statistical analysis, predictive modeling, and data mining
  • Strong skills in Machine Learning, Advanced Analytics, Python, PySpark, SQL
  • Experience with cloud data platforms like Azure or Databricks
  • Proven ability to manage stakeholder relationships and influence across functions
  • Excellent communication skills, particularly in translating complex data insights for non-technical audiences

Responsibilities

  • Partner with business stakeholders to define and translate business problems into analytics use cases
  • Analyze data across various domains like finance, engineering, and supply chain
  • Conduct exploratory data analyses to find patterns and improvement opportunities
  • Develop, validate, and deploy predictive models and machine learning solutions
  • Design algorithms to tackle business challenges
  • Manage analytics datasets to ensure data quality and address anomalies
  • Document methodologies to support scalability and knowledge reuse

Benefits

  • Comprehensive medical and financial benefits offered
  • Opportunity to contribute to global CPS initiatives
  • Access to develop scalable analytics solutions
  • Gain experience in a high-impact role within a recognized global brand
  • Work in a collaborative environment that values data-driven decision making
Full Job Description
Job Description Summary:

Position Overview

The Data Scientist plays a key role in transforming CPS (Commercial Product Supply) data into actionable insights that enable predictive and data-driven decision-making. This role partners with business and technology stakeholders to understand operational challenges, identify the right data sources and analytical approaches, and deliver scalable analytics solutions.

The Data Scientist will prepare and analyze data, develop and deploy predictive and machine learning models, and translate findings into clear business recommendations. In addition, this role contributes to building reusable analytics assets and best practices that support long-term capability development across CPS.

This role supports global CPS initiatives by driving efficiency, improving decision quality, and enabling standardized, scalable analytics solutions.

Key outcomes for this role include:
  • Delivery of analytics solutions that balance business value, cost, speed, and scalability
  • Generation of actionable insights that support business decision-making
  • Adherence to company standards, governance, and industry best practices


Key Duties & Responsibilities
  • Partner with subject matter experts and business stakeholders to understand processes, define business problems, and translate them into structured analytics use cases with clear objectives and measurable outcomes
  • Integrate and analyze data across multiple domains, including finance, engineering, operations, supply chain, IT, and external data sources
  • Perform exploratory data analysis to identify patterns, trends, and opportunities for improvement
  • Develop, validate, and deploy predictive and machine learning models
  • Design and implement algorithms to address business and operational challenges
  • Manage and curate analytics datasets, ensuring data quality and consistency
  • Identify and resolve data anomalies and inconsistencies
  • Contribute to the development of data science methodologies, frameworks, and best practices
  • Document processes, models, and standards to support scalability and reuse across teams


Educational Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
  • Master's degree preferred


Previous Work Experience & Skills
  • 5+ years of experience in data science, analytics, or a related field, preferably within consumer products, manufacturing, or supply chain environments
  • Strong expertise in statistical analysis, predictive modeling, and data mining techniques
  • Proven track record delivering end-to-end analytics solutions from ideation to production
  • Strong experience with:
    • Machine Learning & Advanced Analytics
    • Optimization techniques (e.g., linear programming, ILP, OR-tools)
    • Python / PySpark / SQL
  • Experience with cloud data platforms (Azure, Databricks, Fabric or similar)
  • Strong stakeholder management and ability to influence across functions
  • Excellent communication skills with the ability to translate complex concepts into business insights
  • Strong communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders
  • Up to date with industry trends and emerging technologies in data science and analytics
  • Creative problem solver with a strong analytical mindset


The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:
Analytics, Databricks Platform, Data Driven, Data Transformation, Microsoft Azure, Storytelling, Technical Communication

Pay Range:
United States of America: 109,000 USD - 129,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Location(s):
United States of America
City/Cities:
Atlanta

Travel Required:
00% - 25%

Relocation Provided:
No

Job Posting End Date:
June 23, 2026

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