United States Hybrid USD 195,000 - 235,000 Yearly

Kindred is hiring a Staff Data Scientist

Kindred is looking for a Staff Data Scientist to lead the technical strategy for our core product experience. You will move between high-level strategy, insightful data analysis, and hands-on engineering to solve our most complex challenges in Matching Optimization, Growth Flywheels, and Marketplace Health.

What You'll Do

  • Partner directly with Product Managers and other leaders to frame key business problems, define our measurement strategy, and guide product innovations.
  • Build and deploy sophisticated predictive models to refine Kindred’s matching algorithms, optimizing for growth, trust, and liquidity.
  • Own the end-to-end experimental framework, applying advanced causal inference to measure the ripple effects of product changes.
  • Lead the design of robust event structures and collaborate with Data Engineering to build a scalable data platform that ensures our data is ready for modeling.
  • Translate complex analytical concepts into clear, actionable recommendations and effectively persuade senior stakeholders to adopt data-informed strategies.

What We're Looking For

  • 8+ years of experience in a quantitative role such as data science, with a proven track record of influencing strategy at a leadership level, preferably within a consumer tech or marketplace company.
  • Expert in SQL and Python/R, with a proven ability to move a project from a whiteboard concept to a production-grade ML model, and experience with modern data warehouses.
  • Deep experience going beyond simple A/B tests to measure product impact in networked environments where interference and spillover are present.
  • Exceptional communication skills, with a proven ability to simplify complex concepts and persuade senior stakeholders to trust the data and embrace new measurement strategies.

Nice to Have

  • Think in Systems, not just Features: You naturally consider 'spillover effects'—understanding how a boost in one area of the platform might impact another part of the community ecosystem.
  • Are a Technical Force Multiplier: You have a track record of leveling up the teams around you, setting the standard for code quality, and effectively communicating complex technical risks to non-technical partners.
  • Are passionate about the sharing economy and building a world where everyone feels at home anywhere.

Technical Stack

  • SQL
  • Python
  • R

Benefits & Compensation

  • Competitive cash compensation and equity
  • Comprehensive health benefits
  • Flexible time off, plus 12 paid holidays per year
  • 21 credits per year to stay in Kindred homes
  • $4,000 annual travel stipend to help offset travel-related costs
  • Remote-first and remote-flexible work environment, with opportunities to work from anywhere and gather in person
  • Regular team and company offsites to connect, collaborate, and build together
  • A vibrant, inclusive, and highly skilled team that ferociously protects team chemistry
  • A culture of high standards, feedback, and continual growth

Work Mode

This is a hybrid role based in San Francisco.

We are committed to providing equal employment opportunities for all applicants and employees. Kindred does not discriminate on the basis of any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, family care or medical leave status, marital status, domestic partner status, military and veteran status, or any other characteristic protected by law.

Required Skills
SQLPythonRMachine LearningA/B TestingData ScienceStatistical AnalysisData WarehousingModel DeploymentStakeholder CommunicationProduct StrategyMeasurement Strategy SQLPythonRMachine LearningA/B TestingData ScienceStatistical AnalysisData WarehousingModel DeploymentStakeholder CommunicationProduct StrategyMeasurement Strategy
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About company
Kindred
A members-only home swapping network that enables home exchanges between trusted peers, backed by top Silicon Valley investors
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Job Details
Department Data and Analytics
Category data
Posted 2 months ago