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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Science with a focus on Ads Marketplace optimization, leveraging machine learning and AI technologies to drive revenue growth. Proficient in designing algorithms, conducting complex analyses, and collaborating across teams to enhance product strategies.
Highest-signal resume keywords
Data Science ExperienceAds Marketplace ExpertiseSQL Query ExecutionPython ProficiencyMachine Learning Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAlgorithm DesignExperimentationCausal InferenceExploratory AnalysisModel DevelopmentAuction MeasurementRanking ModelsObjective FunctionsAI Technologies
Soft Skills
CuriosityCollaborationRelationship Building
Tools & Technologies
PythonNumpyPandasScikit-LearnAgentic Coding Platforms
Industry Keywords
MonetizationAdvertising SystemsCommunity-Based ProductsSmall BusinessesMarketplaces
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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