Senior Pricing Data Scientist
RemoteUnited States
Job Summary
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 segments. Conduct research on pricing strategies and build value-based econometric models to quantify elasticity and lifetime value. Lead pricing and packaging strategy for new product launches by partnering with Product, GTM, and Finance to define commercial models. Design and execute pricing experiments while synthesizing quantitative analysis and competitive intelligence into executive recommendations. Drive customer and prospect research to understand purchasing behavior and pricing friction. Define KPIs and dashboards that measure pricing performance and identify optimization opportunities to improve ARR growth and value realization.
Required Qualifications
- 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‐based or behavioral pricing experience
- Deep quantitative chops—an 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
- Hands-on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design
- Strong attention to detail and data analysis skills
- Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR
- Collaborative mindset with Product, Analytics, Finance, Sales, and Legal
- Strong communication and presentation skills with ability to influence at the executive level
Desired Qualifications
- bonus for dbt
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