Staff Applied Data Scientist, Pricing

This is a fully remote position, open to applicants in California.

📋 Description

• Take charge of the complete pricing experimentation process, encompassing test design, analysis, and recommendations.

• Develop and enhance pricing models and evaluation frameworks that identify the optimal pricing strategies for consumer products.

• Collaborate with stakeholders from Product, Engineering, and Finance to establish a pricing vision, roadmap, and priorities.

• Create and sustain data pipelines and models that provide robust pricing analytics with a focus on production-grade quality.

• Distill complex findings into clear, actionable recommendations and present insights to senior leadership.

⛳️ Requirements

• Over 8 years of experience in data science, emphasizing pricing experimentation, causal inference, and statistical modeling (PhD preferred, or a Master's degree in Economics, Statistics, or a related quantitative field).

• More than 5 years of hands-on leadership in pricing or experimentation workstreams, including the design of A/B tests and development of predictive models.

• Demonstrated expertise in SQL and Python or R for statistical modeling, pipeline creation, and data analysis.

• Proven ability to independently define and deliver complex analytical projects across multiple teams, from problem definition to executive presentations.

• Employs generative AI in a responsible manner, ensuring human oversight to produce business-ready outputs that enhance workflow efficiency, reduce costs, and improve quality.

🏝️ Benefits

• Medical

• Dental

• Vision

• 401(k)