Senior Director, Machine Learning Architect

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.     As a   Senior Director, Machine Learning Architect, 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.   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 , man age,   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 m aintain 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   Lear n ing   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.     Qualifications & Requirements:   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