Senior Data Scientist, Search & Ranking (Hybrid)

nextdoor; United States; Hybrid; USD 175,000 - 234,000; Full time

Benefits offered by this job

Equity grant

Hybrid work model

Job summary

nextdoor is seeking a senior data scientist focused on search quality for its large consumer platform that connects people, places, posts, and local businesses. You will blend deep analytics with hands-on model building, partnering with engineering, product, design, and ML teams to shape query understanding, retrieval, and ranking.

This hybrid role owns problems end-to-end from framing questions to shipping in production.

Qualifications

• 5+ years of relevant data science experience in search/retrieval or related product.
• Strong SQL and Python skills, with hands-on experience in ML modeling.
• Experience designing and analyzing product experiments and A/B tests.
• Ability to translate complex questions into data-driven insights.

Responsibilities

• Design and build search relevance, retrieval quality, and ranking algorithms.
• Plan and analyze experiments, monitor early feature performance and post-launch impact.
• Translate product questions into analyses and surface strategic insights.
• Develop dashboards and evaluation frameworks to track query understanding and engagement.
• Collaborate with product, design, engineering, marketing, and operations to embed data-driven decisions.
• Champion data quality across the company.

Skills

SQL

Python

NumPy

Pandas

Scikit-learn

Communication

Experimentation

Tools

Jupyter

Airflow

Job description

nextdoor is seeking a senior data scientist focused on search quality for its large consumer platform that connects people, places, posts, and local businesses. You will blend deep analytics with hands-on model building, partnering with engineering, product, design, and ML teams to shape query understanding, retrieval, and ranking.

This hybrid role owns problems end-to-end from framing questions to shipping in production.