data
Posted May 27Data Scientist - Search
at Neighbor
United StatesHybrid
Responsibilities
- Design and develop algorithms and models to optimize Search relevance, retrieval, and ranking — driving value for both neighbors and the businesses they discover
- Experiment design: ensure we run experiments efficiently and accurately, including monitoring early feature development through 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 and ranking changes
- Build scalable metrics and dashboards to track Search performance and inform decisions across query understanding, retrieval, ranking, and downstream engagement
Requirements
- As Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions.
- At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow.
- We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.
- experience — partnering closely with ML, Engineering, PM, and Design to turn intent into outcomes.
- You are excited to go deep on ranking and recommendation systems, semantic retrieval, and the application of LLMs to query understanding and evaluation. Your
- 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
- 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
- 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
- Expert knowledge of SQL and Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
- Experience working with ranking algorithms for unstructured content •
- Experience designing, deploying, or monitoring ML production models
- Basic understanding of how to build RAG systems Rewards
Experience
- 5+ years of relevant Data Science experience Direct
Benefits
- Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives Bonus Points •
- 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.
- The starting salary for this role is expected to range from $175,000 - $234,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.
- The salary range will be determined by the candidate’s geographic location.
- We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 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.
Contact
- Download the app and join the neighborhood at nextdoor.com .
Additional details
- 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 350,000 neighborhoods across 11 countries.
- Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale.
- 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.
- We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home
- The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
- As a Senior Data Scientist on the Search team, 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