Machine Learning Architect 1

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

Job Description Summary:

The Coca-Cola Company’s Technology organization isin the midst ofa 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 environmentoffersan incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

As aMachine Learning Architect 1(Individual Contributor), youwill embark on a journey ofleveragingvast amounts of data to transform it into actionable insights. You Will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategyacross the organization. This is an exciting opportunity togrow inyour career in data science and analytics within a supportive and innovative environment.

What You’ll Do for Us:

• Collaborate with cross-functional teams to understand businessrequirementsand objectives.
• Translate business requirements by incorporating data and develop ML and AI algorithms toproduce actionable insightsfor 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.
• Visualizeand interpretdata andcreatereportsand actionable insights.
• Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.
• Partner withML OPSto scaleandoperationalize MLandAI 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 orMaster’s degree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance, Mathematics, OperationsResearchor other quantitativediscipline.Ph.D. preferred.
• Experience gathering, interpreting and translating business requirements.
• Proficientexperiencewithanalytical and programming languages and packages, such as Python, R, and SQL.
• Able to understand various data structures and common methods in datatransformation.
• Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.
• 4+ years’experienceapplying 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 Skills:

Practical experience with as many of the following as possible:

• Handles multiple competing priorities in a fast-paced, deadline-drivenenvironment
• 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.

Skills:

Pay Range:

United States of America: 112,000 USD - 136,000 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.

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 14, 2026

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.