Назад
20 дней назад

Senior Data Scientist (Monetary Policy)

263 670 - 322 820$
Формат работы
onsite
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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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Monetary Policy): Building macroeconomic models, simulation frameworks, and policy mechanics for Roblox’s virtual economy with an accent on Robux monetary dynamics, global pricing, and Developer Exchange policies. Focus on designing counterfactual simulations, analyzing liquidity and sink/faucet dynamics, and translating quantitative economic findings into strategic decisions.

Location: San Mateo, California, United States; office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

Base salary: $263,670–$322,820 USD per year, plus potential equity compensation and benefits.

Company

Roblox builds a 3D immersive digital platform where users create, play, learn, and connect through experiences developed by a global community of creators.

What you will do

  • Develop macroeconomic models to forecast Robux money supply, velocity, inflation, deflation, and virtual economy health.
  • Model currency exchange policies covering fiat-to-Robux pricing, purchasing-power adjustments, and Developer Exchange rates.
  • Design counterfactual simulations, causal inference frameworks, and agent-based models for monetary policies, sink/faucet changes, and marketplace fees.
  • Analyze platform liquidity and sink/faucet dynamics to identify and prevent systemic economic imbalances.
  • Build economic indicators and monitoring systems for macroeconomic health, liquidity risks, and changes in user behavior.
  • Partner with Product and Finance leadership to communicate economic trade-offs and shape policy recommendations and company roadmaps.

Requirements

  • 5+ years of industry or research experience in quantitative economic modeling, econometrics, or simulation frameworks.
  • Deep expertise in time series forecasting, causal inference, structural macro modeling, and counterfactual simulation.
  • Experience analyzing large-scale transactional or platform data and translating micro-level behavior into macroeconomic insights.
  • Ability to lead projects from scratch and convert ambiguous policy or business questions into rigorous quantitative frameworks.
  • Advanced degree such as an MSc or PhD in Economics, Econometrics, Quantitative Finance, Statistics, Operations Research, Physics, or a related quantitative field.
  • For this headquarters-based role, onsite presence is required Tuesday through Thursday in San Mateo, California.

Culture & Benefits

  • Work on economic models and policy systems supporting a large-scale virtual economy.
  • Collaborate with Data Science, Engineering, Product, and Finance stakeholders.
  • Full-time employees are eligible for equity compensation and company benefits.
  • Roblox provides equal employment opportunities and reasonable accommodations during the recruiting process.

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