Senior Data Scientist

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  Collaborate with cross-functional teams to understand business requirements and objectives. 

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  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. 

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  Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling. 

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  Visualize and interpret data and create reports and actionable insights.  

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  Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management. 

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  Partner with ML OPS to scale and operationalize ML and AI use-cases. 

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  Maintain technical documentation in accordance with the agreed standards. 

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  Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.  

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  Leverage CI and CD principles to automate and improve repeatability of deployments. 

• 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. 

• 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.  

• 4+ 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. 

• 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. 

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  

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.