Skip to content
FivetranFivetranUnited States

Senior Pricing Data Scientist

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.

Salary not listed
Remote5+ YOEData Science

About the role

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.

Skills

SQLPythonLookerTableaudbtconjoint analysismaxdiffgabor-grangervan westendorpeconometricspricing models

Similar roles

Data Science jobs
Reddit

Senior Data Scientist - Consumer

RedditSan Francisco, CA

Leads product data science for Reddit’s Consumer area, using experimentation, causal analysis, metrics, and research to guide strategy and growth. The role requires an advanced quantitative degree, substantial industry experience, strong SQL and programming skills, and effective cross-functional communication.

191k – 267k/yrRemote5+ YOEData Science
Reddit

Senior Data Scientist, Ads

RedditUnited States

The Senior Data Scientist will develop statistical and machine learning solutions that improve advertiser experience, campaign performance, and Reddit’s ads platform. The role requires an advanced quantitative degree, substantial applied data science experience, and expertise in experimentation, causal inference, large-scale data processing, and ML tooling.

191k – 267k/yrRemote5+ YOEData Science
OpenAI

Machine Learning Data Scientist, Forecasting

OpenAISan Francisco, CA

Leads forecasting initiatives by building interpretable, production-ready statistical and machine learning models for growth, revenue, compute, and profitability. Requires an advanced quantitative degree, 7+ years of applied data science experience, and strong expertise in time-series forecasting.

230k – 385k/yrHybrid7+ YOEData Science
Chime

Senior Data Scientist, Referrals

ChimeSan Francisco, CA

This senior data scientist will measure and forecast referral-driven acquisition, optimize campaign spend, and quantify incremental lift and long-term member value. The role requires 4+ years in referral, marketing, growth, or product analytics, advanced SQL, Python or R, experimentation, forecasting, and dashboarding expertise.

133k – 185k/yrHybrid5+ YOEData Science
Reddit

Senior Data Scientist

RedditSan Francisco, CA

Develops experimental and causal analyses, product insights, data pipelines, and KPI frameworks to guide strategy and decision-making. The role requires a quantitative degree, relevant experience, and strong Python, SQL, experimentation, and statistical modeling skills.

229k – 267k/yrRemote5+ YOEData Science