Head of Data Science – Monetization

Role Overview

• 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

Requirements

• 10+ years in data science, product analytics, applied statistics, machine learning, or equivalent experience; advanced degree in a quantitative field strongly preferred
• Hands-on experience in advertising or monetization data science for consumer products (e.g., ads marketplaces, targeting/relevance, measurement, auction dynamics, yield optimization, budgeting/pacing, attribution, or related domains)
• Proven people leadership experience, including hiring and managing a team of data scientists across multiple problem areas, with a track record of growing others and raising team standards
• Strong DS craft fundamentals: expertise in experimentation, measurement, and statistical reasoning; ability to choose the right method for the question and to anticipate pitfalls and bias
• Experience leading complex analyses end-to-end (problem framing → data requirements → analysis/modeling → recommendations → iteration)
• Comfort partnering across the product development spectrum (strategy, ideation, instrumentation, experimentation, and—where appropriate—model development)
• Exceptional communication: ability to explain complex ideas clearly, influence decisions, and write narratives that drive alignment and action
• Appetite for applying AI and emerging tools to increase productivity and reimagine how DS teams deliver impact (without sacrificing rigor and decision quality)
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done.

Benefits

• Health plans with a 100% covered employee only plan option
• OneMedical membership for concierge care