Develops and publishes the Data Science strategy/roadmap and processes, best practices, and tools.  Manages risks associated with the development, implementation and usage of data science solutions.  

Tasks: 

• Builds and maintains a robust library of data science solutions, reusable templates, algorithms and supporting code. 

• Unifies the Data Science Community and coordinates meetings and events. 

• Coordinates training on advanced analytics capabilities and builds reporting capabilities on the progress and adoption of data science solutions. 

• Works with Vendor Management to ensure oversight for the procurement of third-party data science solutions.   

• Contributes to the development and implementation of the Data Science strategy and roadmap and the AI Ethics Framework. 

• Educates on model risk management best practices and may work with other risk functions in the development and implementation of model and operational risk controls 

Minimum Requirements: 

• Bachelor's degree in Mathematics, Quantitative Economics, Statistics, or related quantitative field. 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 

• 6 or more years related quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative discipline. Or advanced degree/designation in Economics, Finance, Statistics, Mathematics or other quantitative discipline and 4 or more years work experience in a quantitative discipline relevant to risk management.  

• Utilizes advanced analytical knowledge and consulting experience to influence the data science oversight/governance process, technology and data requirements for the modeling environment 

• Applies advanced knowledge to partner with key stakeholders to mitigate risk and improve operational effectiveness in model development, implementation, and use 

• Provides guidance through the model lifecycle 

• Facilitates compliance with company policies and standards 

• Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. 

Preferred Experience: 

• Experience in managing model risk 

• Experience in procuring or developing, implementing and using data science solutions 

• Experience supporting the CPG industry 

Skills:

User Experience (UX); Data Flow Diagrams; Microsoft Office; Communication; Business Process Modeling; Microsoft Azure Databricks; Digital Transformation; Enterprise Architecture Framework; DevOps; Change Management; Cloud Platform; Agile Methodologies

Our Purpose and Growth Culture:
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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.