Manager, Machine Learning Ops

About the role

The Coca-Cola Company's Technology organization is undergoing a digital transformation, and this role sits within its data science and analytics function. You will help turn large amounts of data into actionable insights, support the development of analytics models under the guidance of experienced data scientists, and partner with ML Ops to scale and operationalize machine learning and AI use cases.

Key responsibilities

• Work with cross-functional teams to understand business requirements and translate them into data-driven ML and AI algorithms for areas such as marketing, finance, technical innovation and supply chain.
• Use structured and unstructured data to build models, visualize and interpret data, and create reports and 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 and build a library of reusable data science solutions, templates, algorithms and code.
• Apply CI/CD principles to automate and improve deployment repeatability.
• Stay up to date with industry trends in data science and analytics.

Required profile

• 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.
• 2+ years of experience with analytical and programming languages and packages such as Python, R and SQL.
• Ability to understand data structures and common data transformation methods.
• Experience applying statistical, modeling and optimization techniques such as hypothesis testing, dimensionality reduction, mixed-integer programming, supervised and unsupervised learning, Bayesian modeling, forecasting and clustering, and deploying solutions into production.
• Strong communication skills with technical and non-technical audiences, and experience with code version control platforms such as GitHub, GitLab or Azure DevOps.

Required skills

• Python, R, SQL
• Statistical modeling, machine learning and data transformation
• CI/CD and code version control (GitHub, GitLab, Azure DevOps)

What we offer

• An award-winning, innovative team working on the cutting edge of technology.
• Exposure to global technology leaders and emerging technologies.
• An agile work environment that encourages experimentation and iteration.