Назад
3 часа назад

Senior Data Scientist

229 000 - 267 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Experimentation and Causal Inference): Developing action-oriented product insights through causal analysis, experiment meta analysis, KPI measurement, and self-serve data tools with an accent on A/B testing, statistical modeling, and ETL development. Focus on designing experiments, measuring incrementality, building scalable data workflows, and mentoring data scientists and business partners.

Location: San Francisco, CA; full-time telecommuting is an option for U.S.-based employees

Salary: $229,000–$267,100 USD per year, plus potential equity and, depending on the position, commission.

Company

Reddit is a community platform built around shared interests, user-generated discussions, and more than 100,000 active communities.

What you will do

  • Develop action-oriented insights for product strategy through observational causal analysis and experiment meta analysis.
  • Guide the design, execution, and deep-dive analysis of A/B tests to improve experimentation practices.
  • Create and maintain ETLs, tables, dashboards, and self-serve tools for data scientists and cross-functional partners.
  • Design and evaluate team-level KPIs, support quarterly goal setting, and demonstrate team impact.
  • Collaborate with stakeholders throughout projects to align data science work with business goals.
  • Mentor junior data scientists and business partners in data science methods and best practices.

Requirements

  • Master’s degree in a quantitative discipline and two years of relevant experience, or a bachelor’s degree and five years of progressively responsible relevant experience.
  • A/B testing and experimentation design experience.
  • Causal inference, incrementality measurement, statistical modeling, and data analysis skills.
  • Experience developing and maintaining ETLs, designing KPIs, and creating data visualizations and reports.
  • Proficiency in Python and SQL, with experience in machine learning and predictive modeling.
  • U.S. location eligibility applies to the U.S.-based role and compensation range.

Culture & Benefits

  • Comprehensive healthcare and income replacement programs.
  • 401(k) with employer match.
  • Global benefits supporting workspace, professional development, caregiving, and family planning.
  • Gender-affirming care and mental health and coaching benefits.
  • Flexible vacation, paid volunteer time, and generous paid parental leave.

Hiring process

  • Submit a resume with references through the application process or by email.
  • Some interviews may be recorded, transcribed, and summarized by AI; candidates may opt out before scheduled interviews.

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