Назад
6 дней назад

Senior Data Scientist (Consumer Apps)

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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Текст:
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TL;DR
Senior Data Scientist (Consumer Apps) (Statistics/Causal Inference): Shaping platform-specific strategies and measurement frameworks for Roblox across mobile, desktop, console, TV, and VR with an accent on experimentation, causal inference, and ecosystem performance. Focus on designing rigorous experiments, building scalable monitoring and diagnostic systems, and translating complex data into product and business decisions.

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

Salary: $263,670–$322,820 USD annual base pay, plus potential equity and benefits.

Company

Roblox builds a platform for immersive 3D digital experiences where people can explore, create, play, learn, and connect across devices.

What you will do

  • Identify platform growth opportunities and use causal methods to measure effects on behavior, engagement, monetization, and business outcomes.
  • Develop expertise in mobile, desktop, console, TV, VR, and emerging-platform dynamics to shape platform-specific product strategies.
  • Build platform-level performance visibility and establish growth targets using internal data, market research, and competitive insights.
  • Design and analyze experiments for product launches, iteration, launch criteria, and data-informed decision-making.
  • Develop measurement and causal-inference approaches for investments where traditional A/B testing is not feasible.
  • Build scalable monitoring, diagnostics, and experimentation frameworks while partnering with Product, Engineering, Growth, Discovery, Social, and Data Science.

Requirements

  • Advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field.
  • 8+ years of industry experience in Data Science or a related quantitative discipline, preferably with consumer-facing products or applications.
  • Strong proficiency in Python or R, SQL, and large-scale data processing and workflow tools such as Spark and Airflow.
  • Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies.
  • Ability to lead ambiguous, high-impact problem spaces and influence Product, Engineering, Design, Data Science, and leadership.
  • Exceptional communication and storytelling skills for technical and executive audiences.

Culture & Benefits

  • Work on products used by tens of millions of people across multiple device ecosystems.
  • Collaborate across Data Science, Product, Engineering, Growth, Discovery, Social, and other product areas.
  • Full-time employees are eligible for equity compensation and benefits.
  • Reasonable accommodations are available during the recruiting process for qualifying disabilities or religious beliefs.
  • US work authorization may be required; certain US visa categories may not be supported, and future H-1B sponsorship may not be available.

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