Data Scientist (Search)
Nextdoor
full-remoteseniorpermanentdata Full remote 121 days ago via WTTJ
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Machine LearningInformation RetrievalSearch RankingA/B TestingExperimentationSQLPythonNumPypandasscikit-learn
About the role
Role overview
Join Nextdoor as a Senior Data Scientist on the Search team. You will own the data science that powers the end-to-end search experience—helping neighbors find relevant people, places, posts, and businesses.
Responsibilities
- Design and develop algorithms and models to improve search relevance, retrieval, and ranking.
- Collaborate with cross-functional teams (product, design, engineering, marketing, operations) to support product development.
- Produce and share strategic insights using data analysis, including:
- Experiment design
- Performance evaluation of ranking and search systems.
Requirements
- Strong judgment to apply ML to real business problems and to define the right metrics for ranking/relevance.
- Expert-level SQL and Python, with experience using common data science/scientific computing tools (e.g., NumPy, pandas, scikit-learn).
- 5+ years of relevant Data Science experience.
- Direct experience with Search, recommendations, or information retrieval products (query understanding, retrieval, ranking, relevance evaluation) and the associated metrics.
- Strong experimentation skills, including designing and analyzing complex A/B tests, handling interaction effects, and measuring long-term metric movement.
- Excellent communication skills (ability to synthesize and explain complex problems to varied audiences, including executives).
- Experience designing, deploying, or monitoring ML production models.
- Experience working with ranking algorithms for unstructured content.
- Basic understanding of RAG systems.
Nice-to-haves
- Not explicitly stated beyond the listed requirements (RAG understanding, unstructured ranking, ML production).
About Nextdoor
Nextdoor is a technology company that connects neighbors and communities through local posts, people, places, and businesses. It operates in the social networking and location-based services space, using data and machine learning to improve discovery and community experiences.
Scraped 6/11/2026