Senior Data Scientist, Nextdoor

• 4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
• Experience in applied statistics and statistical modeling in at least one statistical software package, preferably R/Python
• Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
• Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
• Ability to solve ambiguous business problems with structured analytics framework
• Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Desirable

• Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
• Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team
• Conduct causal inference studies to deeply understand Nextdoor’s new user acquisition engine
• Build scalable metrics and dashboards to inform product strategy
• Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)
• Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow