• Developing, communicating, and leading execution of the data science strategy across Nextdoor’s monetization products • Owning the monetization DS roadmap: identify the highest-impact opportunities and risks, define clear success metrics, and align stakeholders on priorities • Raising the bar on DS craft excellence: establish standards for strong analysis, experimentation, and impact-orientedness; provide high-quality review and mentorship; and help the team deliver work that is rigorous, decision-relevant, and well-communicated • Being a hands-on technical leader: contribute on the framing and execution of the most strategic, ambiguous, and high-leverage problems (e.g., measurement strategy for new products, experiment design standards, causal questions, marketplace dynamics) • Driving experimentation and measurement: design and evaluate experiments, ensure sound interpretation, and strengthen the end-to-end measurement system (instrumentation, definitions, dashboards, and decision forums) • Partnering cross-functionally to move strategy forward: serve as a thought partner to Product, Engineering, Sales, and other functions—bringing clarity, structure, and constructive data-informed judgment, especially when tradeoffs are complex • Building scalable systems and leverage: improve team throughput through reusable frameworks (metric definitions, analysis templates, audience definitions, and tooling) and by reducing repeated, one-off work • Leading, growing, and developing the team: hire and develop data scientists, create an inclusive and high-performing culture, and ensure strong career growth and performance coaching • Representing Data Science and a data-informed POV in leadership discussions: communicate clearly to varied audiences—from deep technical reviews to executive narratives—while maintaining rigor and intellectual honesty