Manager, Machine Learning Ops

The Coca-Cola Company • Atlanta, GA

1d • $112,000 - $136,000

About The Position

The Coca-Cola Company’s Technology organization is undergoing a digital transformation, using technology to connect its products with customers around the world. In this role, you will use large amounts of data to develop analytics models and support data-driven decision-making and strategy across the organization. You will work with data science professionals and cross-functional teams on machine learning and AI solutions for areas including Marketing, Finance, Technical Innovation, and Supply Chain.

Requirements

• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, or another quantitative discipline.
• Experience gathering, interpreting, and translating business requirements.
• At least 2 years of experience with analytical and programming languages and packages such as Python, R, and SQL.
• Ability to understand different data structures and common data transformation methods.
• Knowledge and experience applying 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.
• Aptitude for learning and applying new technologies related to Data Science and Data Management.
• Demonstrated ability to communicate complex analytical concepts and results to technical and non-technical audiences at multiple levels.
• Experience with code version control platforms such as GitHub, GitLab, or Azure DevOps.
• Ability to handle multiple competing priorities in a fast-paced, deadline-driven environment.
• Strong attention to detail and excellent problem-solving skills.
• Ability to work collaboratively in a team environment.
• Innovative, adaptable, and self-directed approach.
• Results-oriented, delivery-focused approach.
• Presentation skills and ability to communicate technical topics to business audiences.
• Ability to collaborate across organizational levels and lead discussions toward defined outcomes.
• Effective communication skills.

Nice To Haves

• Practical experience with as many of the listed functional skills as possible.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Translate business requirements into data-informed ML and AI algorithms that produce actionable insights for functional areas and use cases around the globe.
• Use large structured and unstructured data sets to derive insights and information for modeling.
• Visualize and interpret data, and create reports and actionable insights.
• Communicate complex analytical work to technical and non-technical stakeholders.
• Partner with ML Ops to scale and operationalize ML and AI use cases.
• Maintain technical documentation according to agreed standards.
• Build and maintain a library of data science solutions, reusable templates, algorithms, and supporting code.
• Use CI/CD principles to automate and improve the repeatability of deployments.
• Keep abreast of industry trends and developments in data science and analytics.

Benefits

• Access to an award-winning team working at the cutting edge of innovation and technology.
• Exposure to global technology leaders and emerging technologies and techniques.
• Agile work environment with management that removes barriers and empowers employees to experiment, iterate, and innovate.
• Medical, financial, and/or other benefits, depending on the position.
• Annual incentive reference value of 15%.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager