Fivetran
Visit websiteSenior Pricing Data Scientist
$209,378 – $261,7235–8 yearsRemote
- Full time
- Yesterday
Newly posted
About the role
This role sits at the intersection of economics, analytics, product, and strategy. You will combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.
Responsibilities
- 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.
- Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.
Required skills
- SaaS pricing models
- SQL
- Python
- Econometrics
- Statistics
- Operations Research
- Applied Math
- BI tools
- Looker
- Tableau
- Causal experiment design
Nice to have
- dbt
Qualifications
- PhD or MSc in Economics, Statistics, Operations Research, Applied Math, or similar
Benefits
- 100% employer-paid medical insurance
- Generous paid time-off policy
- Paid sick time
- Parental leave
- RSU stock grants
- Professional development and training
- Monthly cell phone stipend
- Mental health support platform
About the Company
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. Together with dbt Labs, they deliver the data infrastructure layer that helps organizations move, transform, and trust their data.