About this Manager, Machine Learning Ops role at The Coca-Cola Company
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.
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 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.
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.
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 16, 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.