Staff Data Scientist - Ads Marketplace

Nextdoor · Remote (Remote US)

Equity This posting mentions equity, such as stock options or RSUs. The terms are on the company’s site.

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About the role

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product.

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm, inclusive work environment that embraces a hybrid employment model and provides flexibility for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You’ll Make

As a Staff Data Scientist on the Monetization Team, you will drive revenue growth and advertiser value by focusing on the machine learning auction ads delivery layer. You’ll directly contribute to growing and improving our core Ads products and help lead us into the future of data and revenue at Nextdoor. Responsibilities will include shaping ranking models and objective functions, establishing an explainability layer for model feedback loops, and performing auction measurement. The role offers the opportunity to drive the roadmap and explore potential applications for artificial intelligence and large language models.

We are looking for an entrepreneurial and driven candidate to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as Product, Engineering, Machine Learning, Sales & Finance to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners.

Your responsibilities may include

Design and develop algorithms and models to optimize Ads Marketplace performance, driving value for both end-users and Advertisers

Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups

Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content

Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)

Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises

Continued in Nextdoor’s original posting ↗.

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