• 3+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
• 3+ years of experience partnering with Marketing teams to optimize decision making
• Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
• Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python, R is ok
• 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

• This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform
• We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions of new and existing advertisers
• You will design/deploy complex models that enable optimization of investments and decisions, alongside using best practices for experimentation, measurement and reporting of results
• You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product
• Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion
• Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies based on data driven insights and past campaign performance
• Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
• Build scalable metrics and dashboards to inform product strategy
• Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow
• Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values and educate stakeholders by explaining the “Why” behind the “What”