Staff Data Scientist

Who you are

• Staff-level Data Scientist or Tech Lead experience, ideally within the social media or consumer technology space
• Master’s degree or Ph.D. in Statistics
• Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods
• Experience owning end-to-end product analytics, from identifying opportunities and shaping strategy through launching and measuring new features
• Strong cross-functional collaboration skills, with a track record of building effective working relationships with Product, Engineering, and other partners
• The ability to operate as an autonomous technical leader and influence product direction through rigorous analysis, experimentation, and clear communication
• Expert knowledge of SQL and 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 audiences, including executives, and compile compelling narratives
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

What the job involves

• We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making
• This person will provide end-to-end data science ownership for new and emerging surfaces such as Video, Groups, and Events—areas with limited historical data that require strong product sense, pattern recognition, rapid hypothesis generation, rigorous diagnosis, and fast iteration
• They will evaluate feature performance, including through non-standard A/B tests; identify opportunities to grow content supply, contributors, and engagement; partner with Distribution to improve discovery; and connect insights across surfaces to drive portfolio-level impact
• The role will also own the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces
• This includes evolving legacy structures, identifying coverage and quality gaps, and partnering with Analytics Engineering to build and maintain source-of-truth tables and artifacts—an increasingly important foundation for reliable agentic analytics
• Finally, we need a working statistician with strong theoretical training and practical experience to restore expertise in quasi-experiments, network experimentation with bias controls, and other sophisticated methods, ensuring the team can distinguish true product impact from confounding factors while maintaining both rigor and velocity
• Partner with cross-functional teams - including product management, design, engineering, research - to support product development efforts
• Experiments: design and measure experiments to inform feature decisions
• Develop key strategic insights through exploratory data analysis to inform future investments or pivot in strategy
• Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
• Build in-person relationships with team members and contribute to Nextdoor's company culture

Benefits

• Monthly wellness stipend
• 12 weeks of parental, family or medical leave
• Global end of year shutdown
• Learning and development stipend
• Work from home opportunities
• Health insurance