Job Description
- Job Description:
- Develop models, measurement frameworks, and data products that improve how listings are ranked, recommended, and discovered.
- Develop models and analytical frameworks that improve listing ranking and recommendation.
- Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements.
- Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization.
- Requirements:
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Benefits:
- Bonuses
- Equity
- Benefits
- Employee Travel Credits
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