Data Scientist - Advanced Analyst, Guest Experience

Highly negotiable rate -

6 + month contract to (hire + multi-extension capability)

Team Overview

The Quality & Blueprint team sits at the center of how we understand and improve the customer experience. We partner with Product, Engineering, Operations, and Finance to identify where the experience is breaking down, why it's breaking down, and what to do about it, so we can keep delighting our community at scale. Our work informs strategy at the leadership level and decisions at the product squad level.

The Difference You Will Make

We are seeking an Advanced Analytics Contractor to act as a senior analytics partner on the Quality & Blueprint team. You'll deliver high-impact analysis, experimentation, and reporting that drives how the business diagnoses and improves the guest and host experience.

This is a hands-on, execution-focused role designed to accelerate progress during a period of constrained capacity. You will operate independently, partner closely with cross-functional stakeholders, and own end-to-end work from problem framing to leadership-ready recommendations.

A Typical Day

• Strategic Deep Dives: Conduct analyses into customer experience drivers (cleanliness, check-in, communication, etc.) to identify symptoms, diagnose root causes, and recommend interventions.
• Experimentation: Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure the impact of quality and blueprint initiatives.
• Causal Inference: Build and apply frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes.
• AI-Assisted Analytics: Leverage LLMs to extract structured insights from unstructured data and to scale root-cause taxonomy generation across millions of transactions.
• Metrics Development: Develop and validate metrics and dimensions that monitor customer experience health and surface emerging quality issues.
• Analytical Artifacts: Build and maintain queries, dashboards, and readouts that allow stakeholders to self-serve on standard questions.
• Cross-Functional Partnership: Align with Product, Engineering, Data Science, and Data Engineering teams on methodology, assumptions, and interpretation.
• Executive Communication: Translate complex analyses into clear, concise insights and recommendations for senior leadership.
  
  

Your Expertise

• Experience: 8+ years in advanced analytics, data science, or applied quantitative analysis (industry experience required).
• Technical Stack: Strong hands-on expertise in SQL and at least one programming language (Python or R).
• Testing & Stats: Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems.
• Advanced Methodology: Experience with causal inference techniques (diff-in-diff, synthetic controls, propensity scoring) and a track record of applying them to ambiguous business problems.
• AI Integration: Hands-on experience with AI-assisted analytics workflows (Claude, ChatGPT, etc.) including prompt engineering and using LLMs as classifiers or judges.
• Data Architecture: Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines.
• Soft Skills: Strong analytical judgment, ability to balance rigor with speed, and excellent communication skills when presenting to non-technical audiences.
• Domain Knowledge: Experience in marketplace, product analytics, customer experience, or trust & safety contexts is strongly preferred.
  
  

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