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Описание вакансии
Текст:
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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