jobapplier

Staff Data Scientist (Content Growth & Creator Strategy)

Nextdoor

This job is closed: the employer no longer lists it.

Skills

Required

  • non-randomized A/B testing
  • network testing
  • causal inference methods

Preferred

  • data science
  • design and measure experiments
  • SQL
  • Python
  • numpy
  • pandas
  • scikit-learn

Nextdoor as a Staff Data Scientist, where you will play a crucial role in driving content growth and creator strategy. You will have end-to-end ownership of data science for new and emerging surfaces, evaluate feature performance, and own the data architecture and quality requirements for content data assets.

Responsibilities

  • You will also partner with cross-functional teams, design and measure experiments, develop strategic insights, and build scalable metrics and dashboards.
  • This position offers a monthly wellness stipend, 12 weeks of parental, family or medical leave, a global end of year shutdown, a learning and development stipend, work from home opportunities, and health insurance.
  • Assumer la responsabilité de l'ensemble du processus de science des données pour de nouvelles surfaces émergentes, y compris l'évaluation des performances des fonctionnalités et l'identification des opportunités de croissance.
  • Collaborer avec des équipes interfonctionnelles pour soutenir les efforts de développement de produits, concevoir et mesurer des expériences pour éclairer les décisions.
  • Développer des analyses exploratoires et des tableaux de bord pour informer les investissements futurs ou pivoter la stratégie.
  • Expert knowledge of SQL and Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • The ability to operate as an autonomous technical leader and influence product direction through rigorous analysis, experimentation, and clear communication

Requirements

  • Staff-level Data Scientist or Tech Lead experience, ideally within the social media or consumer technology space

Master’s degree or Ph.D. in Statistics

  • Experience owning end-to-end product analytics, from identifying opportunities and shaping strategy through launching and measuring new features
  • Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods
  • Strong cross-functional collaboration skills, with a track record of building effective working relationships with Product, Engineering, and other partners
  • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
  • Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives

Pay

USD 190,000 - 283,000