Manager, Machine Learning Ops

About this role

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,   Techni cal   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 .  

• Visualiz e   and interpret   data and   creat e   reports   and actionable insights .    

• Communicate complex analytical work to a variety of technical and non-technical stakeholders .  

• 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   or other quantitative   discipline .    

• Experience gathering,   interpreting   and translating business requirements .  

• 2 + years ’ 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.  

• Knowledge and e xperience   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 Skills:       

• 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.

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

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