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SeniorRemoteRemote, California, United States

Pricing Data Scientist

F
Fivetran
Зарплата
$17,400–$21,800
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the Role

This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.

What You’ll Do
  • 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.
  • Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy.
  • Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction.
  • Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives.
  • Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.
  • Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization.
Skills We’re Looking For
  • 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; 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.
  • 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; you can navigate from whiteboard to contract terms with ease.
  • Strong communication and presentation skills with ability to influence at the executive level.
Стек и навыки

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