Staff Applied Data Scientist, Pricing

8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field)

5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models

Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis

Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through executive presentation

Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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Own end-to-end pricing experimentation, from test design through analysis and recommendation

Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products

Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities

Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship

Synthesize complex findings into clear, actionable recommendations and present them to senior leadership