Job Description

Join to apply for the Staff Data Scientist - Ads role at Nextdoor

Join to apply for the Staff Data Scientist - Ads role at Nextdoor

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Nextdoor

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 340,000 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

#Team Nextdoor

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 340,000 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 Staff Data Scientist, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.

The Impact Youll Make

As a Staff Data Scientist on the Monetization Team, you will focus on driving revenue growth and advertiser value through delivering data-driven insights into Ads Marketplace health, developing optimization models, and designing measurement approaches to solve complex ads ecosystem problems. Youll directly contribute to growing and improving our core Ads products, and will help lead us to the future of data and revenue at Nextdoor.

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, 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 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
• Build in-person relationships with team members and contribute to Nextdoors company culture

What Youll Bring To The Team

• 6+ years of relevant Data Science experience
• Experience in Ads domain and/or Monetization experience
• Experience architecting, debugging, and executing complex SQL queries
• Excellent knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
• Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and other exploratory analysis work
• Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Bonus Points

• Work experience related to social or community-based products
• Work experience related to small businesses and marketplaces
• Work experience related to advertising and auction systems
• Experience with agentic coding platforms such as Cursor or Windsurf

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

The starting salary for this role in the San Francisco area is expected to range from $190,000 to $230,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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Job Tags

Full time, Work experience placement, Freelance, Work at office, Local area, Work from home,

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