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Senior Pricing Data Scientist

🔥 9 hours ago
Pricing StrategyQuantitative AnalysisCustomer ResearchSaaS Pricing Models

📜 Description

  • Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
  • Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines.
  • Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets.
  • Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models.
  • Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value.
  • Design and execute pricing experiments.

🛠️ Requirements

  • 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage-based or behavioral pricing experience.
  • Advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar.
  • Fluency in SQL and Python for large-scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt.
  • Hands-on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design.
  • Strong attention to detail and data analysis skills, including interpreting results and recommending actions.

Benefits

  • 100% employer-paid medical insurance *
  • RSU stock grants*
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
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