About the Role
This role focuses on designing and implementing decision science solutions to enhance product ranking systems using statistical modeling, machine learning, and deep user behavior analysis.
Responsibilities
- Design and deploy machine learning models to optimize product ranking
- Analyze large-scale user interaction data to identify ranking patterns
- Collaborate with engineering teams to integrate models into production systems
- Evaluate model performance using A/B testing and statistical validation
- Translate business objectives into data-driven ranking strategies
- Improve relevance and personalization of search and recommendation results
- Monitor model behavior and adapt to changing user preferences
- Develop metrics to measure ranking effectiveness and user satisfaction
- Work closely with product managers to align data science with product goals
- Communicate technical findings to non-technical stakeholders
- Identify data quality issues and lead efforts to improve data infrastructure
- Conduct exploratory data analysis to uncover new ranking opportunities
- Optimize trade-offs between relevance, diversity, and business impact
- Stay current with academic and industry advances in ranking algorithms
- Support the development of scalable data pipelines for real-time ranking
- Lead initiatives to reduce bias and improve fairness in ranking outputs
- Mentor junior team members in decision science best practices
- Ensure models comply with privacy and data usage standards
- Contribute to roadmap planning for ranking-related product features
- Use causal inference methods to assess feature impact on user behavior
Compensation
Competitive salary and performance-based incentives
Work Arrangement
Hybrid work model with flexible location options
Team
Part of a data science team focused on product ranking and user experience
What We Offer
- Opportunity to shape core product features through data science
- Access to cutting-edge tools and infrastructure
- Support for professional development and conference participation
- Inclusive culture that values diverse perspectives
- Collaborative environment with cross-functional teams
Impact
- Direct influence on how millions of users discover experiences
- Work on ranking challenges in a global, multi-category marketplace
- Solve complex problems at scale with measurable business outcomes
Available for qualified candidates requiring work authorization
