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Abstract:
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Marketing Data Scientist are tasked with producing predictive insights based on machine learning modeling and developing user-facing data products. Examples of responsibilities are: developing a media attribution model, which aid us in optimizing media allocation and understanding customers journey; building recommendation engines, which ensure a live and customized experience to every customer; predicting life time value, which measures individual level engagement and shapes acquisition strategies; segmenting customers motivations, which supports sales teams' efforts in market sizing and creating messaging for targeting audiences. As a data scientist, our role is based in acquisition, evolution, engagement, monetization and retention of or customers. Together our technical capabilities and communication skills help improve marketing effectiveness.
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