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Staff Data Scientist – Ads Marketplace

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $190k - $283k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

Where this job comes from

Posted on Nextdoor's careers page, not through a job board

First seen by Remote Rocketship 14 hours ago

Still open on Nextdoor's site. Checked 7 minutes ago.

Logo of Nextdoor

Nextdoor

501 - 1000 employees

Founded 2011

👥 B2C

📱 Media

B2C • Media

Nextdoor is a hyperlocal social networking platform that connects neighbors, local businesses, and public agencies within verified neighborhood communities. It enables residents to share updates, safety alerts, recommendations for local services and favorites, events, and neighborhood news, while offering business pages and tools for companies, agencies, and publishers to reach local audiences.

📋 Description

• Drive revenue growth and advertiser value through the machine learning auction ads delivery layer • Contribute to growing and improving Nextdoor’s core Ads products • Shape ranking models and objective functions • Establish an explainability layer for model feedback loops • Perform auction measurement • Drive the roadmap and explore applications for artificial intelligence and large language models • Design and develop algorithms and models to optimize Ads Marketplace performance for end-users and advertisers • Design and monitor efficient, accurate experiments, including post-release follow-ups • Develop strategic insights through data analysis and evaluate the performance and impact of data-driven content • Partner with Product, Design, Engineering, Marketing, Operations, Sales, and Finance • Participate in in-person trainings, off-sites, volunteer days, and team-building exercises • Build in-person relationships and contribute to company culture

🎯 Requirements

• 7+ years of relevant Data Science experience • Experience in Ads Marketplace and/or Monetization • Experience architecting, debugging, and executing complex SQL queries • Excellent knowledge of Python, including numpy, pandas, and scikit-learn • Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and exploratory analysis • Curiosity around finding meaningful insights that inform product and business strategies • Eagerness to explore and apply AI and emerging technologies • Bonus: Work experience related to social or community-based products • Bonus: Work experience related to small businesses and marketplaces • Bonus: Work experience related to advertising and auction systems • Bonus: Experience with agentic coding platforms such as Cursor or Windsurf

🏖️ Benefits

• Meaningful equity grant with quarterly vesting; first vest date within 3 months of start date • Variety of health plans, including a 100% covered employee-only plan option • OneMedical membership for concierge care • Hybrid employment model and flexibility for valued employees

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