Principal Data Scientist, Pricing Strategy

Tech Stack

Responsibilities

• Lead data science and analytics strategy for portfolio-level pricing and packaging decisions.
• Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes.
• Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans.
• Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance.
• Establish KPIs and build dashboards to monitor monetization strategy effectiveness and ROI of pricing initiatives in real time.

Benefits

• 401k
• Equity
• Health Insurance
• Parental Leave

Culture

Requirements