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Senior Lead Applied Data Scientist

StyleSeat

full-remoteleadpermanentdata Remote Yesterday via RemoteOK

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Tags

Applied Data ScienceA/B TestingSearchRecommendationsPersonalizationMachine LearningExperimentationRankingPersonalizationProduct-Minded Data Science

About the role

Role overview

StyleSeat is hiring a Senior/Lead Applied Data Scientist to work 100% remotely (for U.S.-based candidates only, with some state restrictions). The role is product-minded and AI-native, operating like a mini-founder: identify opportunities, build and validate solutions, and drive measurable business impact end-to-end.

Responsibilities

  • Provide end-to-end ownership of Search, Recommendations, and Personalization.
  • Improve ranking, relevance, and discovery across the marketplace.
  • Drive measurable lift in core metrics including Booking Conversion Rate (CVR), rebooking, and engagement.
  • Create and execute a personal roadmap—identify opportunities independently and prioritize by business impact.
  • Rapidly prototype and push ideas into live experimentation.
  • Design, analyze, and iterate based on A/B tests and real business outcomes.
  • Partner with Product and Engineering while independently defining and shipping your roadmap.

Requirements

  • Strong applied data science skills with product/marketplace focus.
  • Ability to execute end-to-end: identify → prototype → experiment → productionize → measure/iterate.
  • Experience with experimentation, particularly A/B testing.
  • Demonstrated ability to influence business KPIs (e.g., conversion, engagement).
  • Works effectively in cross-functional partnerships with Product and Engineering.

Nice-to-haves

  • Experience using AI tools to accelerate experimentation and development.
  • Deep experience improving search, recommendations, and personalization systems.

Application note

Applicants are instructed to include a specific keyword/marker when applying (spam-avoidance beta feature).

About StyleSeat

StyleSeat operates a marketplace connecting customers with beauty service providers, enabling bookings and related discovery experiences. The company leverages data science and AI to improve product experiences such as search, recommendations, and personalization that directly impact marketplace conversion and engagement.

Scraped 4/23/2026

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