Senior Pricing Data Scientist @Fivetran
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Senior Pricing Data Scientist @Fivetran

2mths ago - Fivetran is hiring a remote Senior Pricing Data Scientist. 💸 Salary: unspecified 📍Location: USA

Role Description

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.

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; 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.

Benefits

  • 100% employer-paid medical insurance.
  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off.
  • RSU stock grants.
  • Professional development and training opportunities.
  • Company virtual happy hours, free food, and fun team-building activities.
  • Monthly cell phone stipend.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Pricing Data Scientist @Fivetran
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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