Data Scientist (Search)

Join Nextdoor as a Senior Data Scientist on the Search team, where you will shape how neighbors find the people, places, posts, and businesses that matter to them. You will own the data science behind query understanding, content retrieval, ranking, and the end-to-end search experience. This role requires a combination of analytical and technical skills, as well as a passion for shipping impactful solutions.

• Concevoir et développer des algorithmes et des modèles pour optimiser la pertinence, la récupération et le classement de la recherche.
• Collaborer avec des équipes interfonctionnelles pour soutenir les efforts de développement de produits, y compris le produit, le design, l'ingénierie, le marketing et les opérations.
• Développer et partager des informations stratégiques clés grâce à l'analyse des données, y compris la conception d'expériences et l'évaluation des performances.
• Working knowledge of ML models and — more importantly — the judgment to apply them to real business problems and to devise the right metrics for evaluating algorithms and ranking systems
• Innate curiosity around finding meaningful insights that inform how we think about and develop our product and business strategies
• Expert knowledge of SQL and Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
• 5+ years of relevant Data Science experience
• Direct experience working on a Search, recommendations, or information retrieval product — familiarity with the core problems (query understanding, retrieval, ranking, relevance evaluation) and the metrics used to measure them
• Strong working knowledge of experimentation, including designing and analyzing complex product A/B testing results, with fluency in handling interaction effects and long-term metric movement
• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives
• Experience designing, deploying, or monitoring ML production models
• Experience working with ranking algorithms for unstructured content
• Basic understanding of how to build RAG systems