Senior Machine Learning Architect

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.

• Develop, manage, and maintain end-to-end (E2E) AI/ML and analytic solutions from ideation, production, and ongoing monitoring

• Communicate complex analytical 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 data science and analytics.

• Mentor, guide, and develop junior/aspiring data scientists across the organization.

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 discipline. Ph.D. preferred.

• 8+ 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.

• Experience gathering, interpreting and translating business requirements.

• 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 audiences.

• Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional

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, including senior executive stakeholders

• Be able to collaborate across other levels of the organization

• Team player who can lead a discussion to defined outcomes

• Effective Communication

• Pursuing Innovation, Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation., Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

United States of America: 164,000 USD - 193,000 USD

Base 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: 30

Annual 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., Pay Range:United States of America: 0 USD - 0 USD Base 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.

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., 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., The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company’s sponsorship to continue to work legally in the United States.