Staff Applied Data Scientist, Pricing

Responsibilities

• Own end-to-end pricing experimentation from design through analysis and recommendations
• Build and refine pricing models and evaluation frameworks for optimal pricing strategies
• Partner with stakeholders in Product, Engineering, and Finance to develop pricing vision and roadmap
• Develop and maintain data pipelines and models for pricing analytics
• Synthesize complex data findings into actionable recommendations for senior leadership

Qualifications

• 8+ years of experience in data science focusing on pricing experimentation, causal inference, and statistical modeling (PhD preferred or Master's in Economics, Statistics, or related field)
• 5+ years of experience leading pricing or experimentation workstreams, including A/B test design and predictive models
• Proficiency in SQL and Python or R for statistical modeling and data analysis
• Experience scoping and delivering complex analytical projects across multiple teams
• Ability to utilize generative AI responsibly to enhance efficiency and quality

Benefits

• Medical, dental, and vision insurance
• 401(k) retirement plan with company contributions
• Equity and bonus eligibility options