Senior Data Scientist, Places

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

Qualifications

- 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