Manager, Machine Learning Ops
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026. The Coca-Cola Company scores A on the Alion truth index.
Job Description Summary:
The Coca-Cola Company’s Technology organization isin the midst ofa digital transformation that allows our employees to useworld classtechnology to connect our products to our customers all over the world. This journey is a very exciting time forCoca-Colaand 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.
In this position, you will 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.
WhatYou’llDo for Us:
Collaborate with cross-functional teams to understand businessrequirementsandobjectives.
Translate business requirementsby incorporating data and developML and AIalgorithms toproduce actionable insightsfor various functional areas and use-cases, includingMarketing,Finance,TechnicalInnovation andSupply Chain (amongothers) 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.
Partner withML OPSto scaleandoperationalize MLandAIuse-cases.
Maintain technical documentationin accordance withthe agreed standards.
Build andmaintaina robust library of data science solutions, reusable templates,algorithmsand supporting code.
Leverage CI and CD principles to automate and improve repeatability of deployments.
Keepabreastof industry trends and developments in data science and analytics.
Qualifications & Requirements:
Bachelor’s orMaster’sdegree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance,Mathematicsor other quantitativediscipline.
Experience gathering,interpretingand translating business requirements.
2+ years’ experience withanalytical and programming languages and packages, such as Python, R, and SQL.
Able to understand various data structures and common methods in datatransformation.
Knowledge and 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 applyingnew technologiesrelated 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 businessaudience.
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 thecutting edgeof innovation.
Exposure to World Class Leaders:Availability to global technology leaders that will expand your network and exposure you toemergingtechnologies and techniques.
Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment,iterateand innovate.
Skills:
Pay Range:
United States: 112,000 - 136,000 USDBase 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:
15Annual 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 AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
November 29, 2026Our 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.