Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS
3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
Strong background in statistical analysis, programming, and experimentation.
Proven ability to apply scientific methods to solve real-world problems on web-scale data.
Expertise in at least one scripting language (ideally Python/R), with experience building models in either langugage
Proficiency in SQL and Hive.
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams.
Experience in querying and manipulating large data sets.
Knowledge to translate quantitative findings into actionable insights and influence business decisions.
Meaningful time as a data scientist partnering with business functions, ideally with Email/Push marketing teams, and having expertise in analyzing content.
Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.
Ability to turn ambiguous questions and problems into clear deliverables and insights.
Ability to make tradeoffs between speed and accuracy wisely