• Mining and analyzing data from various internal and external data sources • Drive optimization and improvement of operations, clinical outcomes, and business strategies • Work with stakeholders throughout the organization to drive business solutions • Use large data sets and models to test the effectiveness of different courses of action using predictive algorithms • Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• 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

• Bring impeccable communication and complete ownership — independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling. • Develop a nuanced understanding of cardholder behavior and economics, helping teams reason about tradeoffs between growth, engagement, risk, and unit economics. • Define, own, and analyze metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilization, rewards, retention, loss signals). • Design and evaluate experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis. • Build and improve data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.

• Acts as Functional Lead for Data Management • Coordinate the work of the assigned Data Management/Data Operations team • Ensures launch, delivery and completion of all Data Management activities and milestones • Provides project specific training to internal and external audiences • Responsible for financial management of assigned projects/programs • Monitors and communicates project progress to the Sponsor and project team • Develop and maintain project plans, specifications and documentation • Maintains documentation on an ongoing basis • Participates in and presents at internal, Sponsor, and third-party meetings • Plans for and creates necessary documentation to support internal and external audits • Trains and mentors data management staff • Prepares input for proposal bid defense meetings • Maintains proficiency in Data Management systems and processes