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6 дней назад

Staff Data Scientist (Dynamic Pricing)

182 000 - 228 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Data Scientist (Dynamic Pricing) (Economics/ML): Building dynamic pricing models and experimentation frameworks for a two-sided car-sharing marketplace with an accent on demand modeling, causal inference, supply–demand dynamics, and optimization under uncertainty. Focus on deploying and monitoring production pricing systems, modeling elasticity and seasonality, and measuring effects on host earnings, guest conversion, and marketplace efficiency.

Location: San Francisco, United States; hybrid schedule with in-office work required at least three days per week on Mondays, Wednesdays, and Thursdays

Base salary: $182,000–$228,000 annually, plus equity and benefits.

Company

hirify.global is a car-sharing marketplace connecting guests with trusted hosts across the US, UK, Canada, Australia, and France.

What you will do

  • Lead dynamic pricing model development from problem framing through deployment, experimentation, and iteration.
  • Develop demand models incorporating pacing, lead-time dynamics, seasonality, and price elasticity.
  • Build causal inference and experimentation frameworks that measure effects on marketplace health, host earnings, and guest conversion.
  • Translate ambiguous business problems into deployable modeling solutions and influence product strategy.
  • Write production-ready Python code and own model deployment, monitoring, and retraining.
  • Drive standards for reproducibility, MLOps, and scientific rigor across the team.

Requirements

  • 7+ years of relevant industry experience and an advanced degree in a quantitative field.
  • Deep expertise in statistics, econometrics, machine learning, and optimization applied to pricing or prediction problems.
  • Strong causal inference experience, including experiment design and quasi-experimental methods.
  • Understanding of economics, supply–demand dynamics, and elasticity modeling.
  • Proficiency in Python, fluency in SQL, and experience with large-scale data.
  • Exceptional communication skills for presenting complex modeling work to technical and executive audiences.

Nice to have

  • PhD in economics, statistics, machine learning, or another quantitative field.
  • Marketplace or platform experience, including structural modeling, market design, dynamic programming, or advanced statistical methods.
  • Experience shipping pricing or optimization systems to production.
  • Experience with AWS or similar cloud infrastructure, and familiarity with Airflow or ML orchestration tools.

Culture & Benefits

  • Hybrid employees receive in-office lunch, snacks, and activities.
  • Equity, employer-paid medical, dental, and vision insurance, plus retirement employer matching.
  • Learning and development stipend, travel credit, host matching program, and cell phone and internet stipend.
  • Paid time off, holidays, volunteer time off, and parental leave.
  • Commitment to diversity, inclusion, and accessibility.

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