Staff Applied Data Scientist, Pricing

Role overview

Responsibilities

• Own pricing experimentation from test design through analysis and recommendation.
• Build pricing models and evaluation frameworks for optimal pricing strategy.
• Partner with Product, Engineering, and Finance on pricing vision, roadmap, and priorities.
• Develop and maintain production-grade data pipelines and data models for pricing analytics.
• Synthesize complex findings into actionable recommendations.
• Present findings to senior leadership and cross-functional leaders.

Required qualifications

• 8 or more years of data science experience focused on pricing experimentation, causal inference, and statistical modeling.
• 5 or more years leading pricing or experimentation workstreams.
• Experience designing A/B tests and building predictive models.
• Proficiency in SQL and Python or R.
• Experience independently delivering complex analytical projects across multiple teams.
• Ability to present analytical work to executives.

Preferred qualification