Director, RGM Data Science

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Job Description Summary:

We are a beverage company that believes in the power of technology, and we are continuously transforming our business to meet consumer needs. Our culture is casual, fun, and social - with an emphasis on continuous learning and the freedom to try new ideas and experiment.  

Our team sits within the Revenue Growth Management function of the North America Operating Unit. We are a small, highly collaborative team known for producing innovative and highly actionable insights around pricing and promotion activities for our beverage portfolio. 

What You’ll Do for Us  

You will drive organizational change and profitability using business acumen coupled with proficiency across data and analytics. You will act as an integrator and manage the end-to-end analytics of our proprietary approach to revenue optimization as well as identifying sources of value from big data and generating data driven insights to create value in our market. 

• Data: You should be comfortable with and capable of accessing, transforming, and staging large data sets with performant and scalable PySpark queries to test and evaluate new models, as well as effectively handing off data requirements to the data engineering team once a project moves towards production.  

• Analytics: This role will drive analytical thought process and will have ownership of the analytical processes, developments, and transformation of new and legacy algorithms. The ideal candidate will have extensive and hands on experience in data querying, analytical programming, statistical programming, and regularization. Experience in building end-to-end analytical solutions including creating hypothesis, data gathering, data enrichment, data management, data analysis, algorithm building, insights reporting, scalability and automation. Hands on experience in deploying machine learning models, regressors, and/or econometric models in a scalable environment. 

• Advisory leadership: Combine the views of subject matter expert and data engineers/scientists to drive insights to action and align stakeholders around the solution. You will ideally develop a peer-like counsellor relationship to business leaders. 

• Business acumen: Develop or have deep industry expertise (Consumer Package Goods and/or Food and Beverage). You will be expected to understand current state of analytics more broadly and able to apply techniques from across industries. 

Requirements 

• Broad experience building and deploying regression and time-series models 

• Deep expertise in Python, PySpark and SQL 

• 5 or more years of work experience required working in a data-centric …