Senior Data Scientist, Places

Posted 1ds ago

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Job Description

Senior Data Scientist shaping metrics, product analytics, and experimentation for Raya’s Places travel discovery app. Building data models and AI-powered decision-support workflows.

Responsibilities:

  • Shape how the Places app uses data to drive business decisions.
  • Combine data modeling and reporting with product analysis and experimentation.
  • Identify opportunities to improve retention and help the team evaluate and act on them.
  • Build data solutions from the ground up and help shape how the team uses insights.
  • Articulate best practices and develop analytical frameworks tying user actions to outcomes.
  • Own the definition and evolution of success metrics for all user-facing surfaces, balancing short-term and long-term member value.
  • Define and maintain business metrics, semantic layers, and data models.
  • Partner with Data Engineering to translate product requirements into scalable, reliable data assets.
  • Uncover insights and translate them into recommendations shaping roadmap prioritization.
  • Build a culture of high-fidelity experimentation.
  • Use visualizations to convey nuance clearly.
  • Use LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build decision-support workflows.

Requirements:

  • 5+ years of data science and product analytics experience
  • BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
  • Familiarity in delivering data products through partnership with Data and product engineering teams.
  • Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions.
  • Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
  • Familiarity with modern analytics and experimentation tools
  • Familiarity with consumer focused products
  • Strong in proactive verbal and written communication, ability to convey rigorous statistical concepts to non-experts.
  • Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.
  • Bonus points for familiarity with optimization of performance marketing efforts