Senior Data Scientist, Places

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Raya

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51 - 200 employees

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👥 B2C

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Raya is a private, membership-based community that connects celebrities, influencers, and other professionals through a social networking app. Known for its exclusivity and discretion, Raya offers a platform for networking and social interaction among its elite members. It is often referred to as a 'Tinder for the famous,' offering both dating and professional connection opportunities.

📋 Description

• 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

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