Key Areas of Expertise and Accountabilities
Domain knowledge : Expertise in CPG and ability to identify the value for Artificial Intelligence and Machine Learning in the business context.
Must understand key operational CPG metrics and their impact on profit and loss, revenue, customer retention, etc.
General technical fluency : Strong acumen in quantitative analytics and structured problem solving. Must be able to interpret model results and identify potential model errors.
Ability to communicate data science features and capabilities to internal and external stakeholders in order to identify business needs and uncover areas in need of deeper data exploration.
An entrepreneurial spirit and Agile mind-set : Enthusiasm, commitment and business savviness to help remove technical roadblocks that might emerge and ability to anticipate them.
Ability to build and iterate through prototypes when building out solutions and act as a trusted advisor.
Key Qualifications and Experiences :
Understands the range of and potential measurements & models needed in a large CPG business.