The Data Scientist, Revenue Growth Management Analytics is responsible for supporting our Revenue Growth Management (RGM) and larger Advanced Analytics capability by designing and implementing analytical models and data solutions. Responsible for extracting insights from complex datasets to inform pricing, promotion, and revenue optimization strategies. Ability to use technical expertise with a business-oriented mindset to drive actionable insights that fuel business growth. 

Responsibilities Include:

Design and implement predictive and prescriptive models to support pricing, promotion, and product mix optimization Extract, clean, and manipulate large datasets to identify patterns, trends, and opportunities, and skilled in automating data pipeline to ensure sustainability of the solution.  Develop and deploy machine learning algorithms to improve forecasting, segmentation, and decision-making Build scalable tools, scripts, and applications to automate analyses and streamline decision-making processes for ensure integration and end user adoption Collaborate with analysts and stakeholders to interpret model outputs and translate findings into actionable recommendations Work closely with cross-functional teams, including marketing, sales, category management, and finance, to integrate data science solutions into business processes Stay current with emerging data science tools, techniques, and trends to enhance analytics capabilities. Proven ability to translate complex concepts into easily understandable terms.