Senior Data Scientist

The Coca-Cola Company; Atlanta (GA); On-site; USD 110,000 - 170,000; Full time

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 in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

What You’ll Do For Us:

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe.
• Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.
• Visualize and interpret data and create reports and actionable insights.
• Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.
• Partner with ML OPS to scale and operationalize ML and AI use-cases.
• Maintain technical documentation in accordance with the agreed standards.
• Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.
• Leverage CI and CD principles to automate and improve repeatability of deployments.
• Keep abreast of industry trends and developments in data science and analytics.

Qualifications & Requirements:

• Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D. preferred.
• Experience gathering, interpreting and translating business requirements.
• Proficient experience with analytical and programming languages and packages, such as Python, R, and SQL.
• Able to understand various data structures and common methods in data transformation.
• Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.
• 4+ years’ experience applying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production.
• Strong aptitude for learning and applying new technologies related to Data Science and Data Management.
• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences.
• Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional

Practical experience with as many of the following as possible:

• Handles multiple competing priorities in a fast-paced, deadline-driven environment
• Strong attention to details and excellent problem-solving skills
• Ability to work in a collaborative team environment
• Highly innovative, adaptable, and self-directed
• Results-oriented with a delivery focus
• Presentation skills: Ability to communicate technical topics to business audience
• Be able to collaborate across other levels of the organization
• Team player who can lead a discussion to defined outcomes
• Effective Communication
• Pursuing Innovation

What We Can Do for You:

• Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
• Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
• Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate.

Our Purpose And Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

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.

Pay Range:

United States of America: 0 USD - 0 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.

Annual Incentive Reference Value Percentage:

15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 29, 2026