Director, Machine Learning Advanced Analytics

0801 The Coca-Cola Company; Atlanta (GA); On-site; USD 164,000 - 193,000; Full time

Job summary

The Coca-Cola Company is seeking an experienced data scientist to translate business requirements into scalable ML/AI solutions. You will work with cross-functional teams to develop end-to-end analytics, visualize data, and produce actionable insights for various functions across the globe.

The role requires 8+ years in statistics, modeling, and optimization, with strong Python, R, SQL skills and experience in Azure Synapse, Databricks, and Azure ML.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field; Ph.D. preferred.
• 8+ years’ experience in statistical, modeling, and optimization techniques.
• Proficient with Python, R, SQL and Azure analytics stack.

Responsibilities

• Translate business requirements into data and ML/AI solutions for multiple functions.
• Develop end-to-end AI/ML solutions from ideation to production and monitoring.
• Collaborate with cross-functional teams and communicate complex analyses to stakeholders.
• Mentor junior data scientists and contribute to technical documentation.

Skills

Python

R

SQL

Azure Databricks

Data Modeling

ML/AI

Communication

Education

Bachelor's or Master’s in a quantitative field

Ph.D. preferred

Tools

Azure Synapse

Cosmos DB

Azure ML

Databricks

GitHub / GitLab / Azure DevOps

Job description

Job Description Summary

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. In this position, you will embark on a journey of leveraging vast 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 strategy across the organization. This is an exciting opportunity to grow in your 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 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. Develop, manage, and maintain end-to-end (E2E) AI/ML and 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 with ML OPS to scale and operationalize ML and AI 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 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. 8+ 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. 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. Demonstrated experience building end-to-end (E2E) data science and analytic solutions from ideation, production, and ongoing monitoring. Demonstrated experience coordinating with cross-functional teams in completion of E2E 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

• 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, 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. 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: 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

Pay Range: United States: 164,000 - 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: No Job Posting End Date: October 29, 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. 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.

Company Overview

The Coca‑Cola global business system is composed of The Coca‑Cola Company (TCCC), its subsidiaries and 225 bottling partners around the world. Search jobs throughout our system.