# Senior Pricing Data Scientist

**Company:** [Fivetran](https://hotfix.jobs/companies/fivetran)
**Location:** Remote
**Role:** Data Science
**Experience:** 5+ years
**Skills:** SQL, Python, Looker, Tableau, dbt, conjoint analysis, maxdiff, gabor-granger, van westendorp, econometrics, pricing models
**Posted:** 2026-07-21

> Senior Pricing Data Scientist role combining quantitative analysis, customer research, and strategy to shape Fivetran's pricing, packaging, and monetization. Requires 5-8 years in SaaS/B2C pricing models, advanced degree in Economics/Statistics or similar, SQL/Python fluency, and experience with pricing experiments and surveys.

## Job Description

## 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.

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