Director, Machine Learning Advanced Analytics

The Coca-Cola Company; Atlanta (GA); On-site; USD 164,000 - 193,000; Full time

Job summary

The Coca-Cola Company is seeking an accomplished data scientist in Atlanta to lead end-to-end ML/AI solutions across Marketing, Finance, and Supply Chain. You will transform business needs into predictive models, manage large data pipelines, and communicate insights to executives.

You will mentor junior data scientists, collaborate with cross-functional teams, and stay current with industry trends while leveraging Microsoft Azure analytics tools and a mature DevOps workflow.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field; PhD preferred.
• 8+ years applying a range of statistical, modeling, and mathematical optimization techniques.
• Experience gathering, interpreting and translating business requirements.
• Proficient experience with analytical and programming languages such as Python, R, and SQL.
• Understand data structures and data transformation methods.
• Experience with large-scale data wrangling with relational databases and/or Spark.
• Experience building end-to-end data science and analytic solutions.
• Experience coordinating with cross-functional teams for E2E solutions.
• Experience with Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks).
• Strong learning aptitude for new technologies and ability to communicate complex concepts.

Responsibilities

• Collaborate with cross-functional teams to understand business objectives.
• Translate requirements and develop ML/AI algorithms for insights across functions.
• Leverage diverse data to derive meaningful insights for modeling.
• Visualize data and create reports for stakeholders.
• Build and maintain end-to-end ML/analytic solutions from ideation to production.
• Mentor junior data scientists across the organization.
• Document technical work per standards.

Skills

Python

SQL

Data wrangling

Machine learning

Communication

Education

BS/MS in quant field

Tools

Azure Databricks

Spark

GitHub

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.

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 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.
• Visualizeand interpretdata andcreatereportsand actionable insights.
• Develop, manage,and maintainend-to-end (E2E)AI/MLand analytic solutions from ideation, production, and ongoing monitoring
• Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.
• Partner withML OPSto scaleandoperationalize MLandAI use-cases.
• Develop and 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.
• Mentor, guide, and develop junior/aspiring data scientists across the organization.

Qualifications & Requirements:

• Bachelor’s orMaster’sdegree inaquantitative field, such asData Science,Statistics,Computer Science,Economics,Finance,Mathematics, OperationsResearchor other quantitativediscipline.Ph.D. preferred.
• 8+ 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.
• 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.
• Demonstrated experience building end-to-end (E2E) data science and analytic solutions from ideation, production, and ongoing monitoring.
• Demonstrated experiencecoordinatingwith cross-functional teamsin completion ofE2E solutions.
• Demonstrated experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks)
• 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, including senior executive stakeholders
• 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.

All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.

Skills:

Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

Pay Range:

United States of America: 164,000 USD - 193,000 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:

30

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:

Yes

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.