raya - Senior Data Scientist, Places
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 . • 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
Responsibilities
• Own the definition and evolution of success metrics for all user facing surfaces, including tradeoffs between short-term and long-term member value. • Define and maintain business metrics, semantic layers, and data models to ensure consistency and trust across the Places team. • Own, in partnership with Data Engineering, the translation of product requirements into scalable, reliable data assets that empower efficient decision-making • Influence product direction by uncovering and translating insights into clear recommendations that shape roadmap prioritization. • Build out a culture of high fidelity experimentation to scale wins quickly • Using visualisations to convey nuance with clarity • AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows
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