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4 дня назад

Senior Pricing & Monetization Data Scientist (SaaS)

215 424 - 269 280$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Senior Pricing & Monetization Data Scientist (SaaS): Shaping pricing, packaging, and monetization for SaaS products through quantitative analysis, customer research, and commercial modeling with an accent on willingness-to-pay analysis, value-based pricing, and pricing experimentation. Focus on building econometric models, quantifying elasticity and customer lifetime value, and translating complex analyses into executive recommendations that improve ARR, gross margin, and NRR.

Location: Hybrid in Oakland, California, United States

Salary: $215,424–$269,280 USD annually

Company

hirify.global provides automated data movement infrastructure that helps organizations move, transform, and trust data for analytics, AI, and business decisions.

What you will do

  • Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
  • Develop willingness-to-pay, customer value, price realization, value-based pricing, elasticity, ROI, and lifetime-value frameworks.
  • Lead pricing and packaging strategy for new product launches with Product, Go-to-Market, Finance, Analytics, Sales, Marketing, and Legal.
  • Research pricing strategies, packaging models, customer purchasing behavior, competitive intelligence, and pricing friction.
  • Design and execute pricing experiments, define KPIs and dashboards, and identify optimization opportunities.
  • Translate quantitative analysis and customer research into executive recommendations that improve ARR growth, customer adoption, gross margin, NRR, and value realization.

Requirements

  • 5–8 years of experience designing or operating SaaS or sophisticated B2C pricing models, preferably involving usage-based or behavioral pricing.
  • Advanced degree such as a PhD or MSc in Economics, Statistics, Operations Research, Applied Mathematics, or a similar field.
  • Fluency in SQL and Python for large-scale data analysis; proficiency with BI tools such as Looker or Tableau.
  • 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 ability to turn complex models and analyses into recommendations and ship changes that affect ARR, gross margin, or NRR.
  • Collaborative approach across Product, Analytics, Finance, Sales, and Legal, with the ability to navigate from whiteboard concepts to contract terms.
  • Strong communication and presentation skills with the ability to influence executives.

Nice to have

  • Experience with dbt.

Culture & Benefits

  • Employer-paid medical insurance, subject to country and worker type.
  • Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
  • RSU stock grants, professional development and training opportunities, and a monthly cell phone stipend.
  • Access to personalized therapy, coaching, and mindfulness resources through a mental health support platform.
  • Values include Get Stuck In, Do the Right Thing, and One Team, One Dream, with an emphasis on diversity, equity, inclusion, and belonging.

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