Data Scientist

• Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights
• Identify biases in data collection and observation
• Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques
• Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources
• Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience

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