Senior Director, Machine Learning Advanced Analytics

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.

• 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.
• Partner with product teams and incorporate experience in product design to ensure seamless solution integration.
• Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.
• Develop, manage, and maintain end-to-end (E2E) AI/ML solutions from ideation, production, and ongoing monitoring
• Communicate complex machine learning work to a variety of technical and non-technical stakeholders, including executive management.
• Partner with ML OPS to scale and operationalize ML and AI use-cases.
• Develop and 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 AI and Machine Learning
• Mentor, guide, and develop junior/aspiring data scientists across the organization.
• Lead continuous career development and drive engineering excellence through performance reviews.
• Manage vendor selection and oversee external vendors' delivery and work items.

• Bachelor's or master's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative disciplines. Ph.D. preferred.
• 10+ years’ 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.
• 5+ years of experience managing and scaling high-performing machine learning teams.
• Experience gathering, interpreting and translating business requirements, with a preferred background driving product innovation or solving complex supply chain and operational challenges.
• Proficient 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.
• Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.
• Demonstrated experience building end-to-end (E2E) data science and analytic solutions from ideation, production, and ongoing monitoring.
• Demonstrated experience coordinating with cross-functional teams in completion of E2E solutions.
• Demonstrated experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks)
• 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…