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

Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study
Alternatively, a Bachelor’s degree with relevant practical experience
Minimum 5 years of experience as a Data Scientist or in a similar role
Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved
Hands-on experience working with large data sets
Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop
Expert in at least one programming or data manipulation language, preferably Python and SQL
Data storytelling skills
Excellent oral and written communication

Senior Data Scientist

Key skills