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Хорошие льготы
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (Experimentation/Analytics): Developing actionable product insights through causal analysis, experiment meta-analysis, ETLs, dashboards, and KPI measurement with an accent on experimentation design, incrementality measurement, and statistical modeling. Focus on guiding A/B tests, building self-serve data tools, communicating recommendations to senior stakeholders, and mentoring data scientists.
Location: San Francisco, CA; full-time telecommuting is an option. The role is a U.S.-based posting.
Base salary: $229,000.00–$267,100.00 USD per year, plus potential equity and, depending on the position offered, commission.
Company
Reddit operates a community platform with more than 100,000 active communities and approximately 130 million daily active unique visitors.
What you will do
Develop actionable product insights through observational causal analysis and experiment meta-analysis, and communicate recommendations to stakeholders up to the C-suite.
Guide A/B test design, execution, and deep-dive analysis to improve experimentation practices and maximize learnings.
Create and maintain ETLs, tables, dashboards, and self-service tools for data scientists and cross-functional partners.
Design, evaluate, and measure team-level KPIs for quarterly goal setting and impact assessment.
Engage stakeholders throughout the work to align data science efforts with business goals and outcomes.
Mentor junior data scientists and business partners in data science methods and best practices.
Requirements
Master’s degree, or foreign equivalent, in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering, or a related quantitative discipline, plus two years of experience in the offered role or a related field; alternatively, a bachelor’s degree or foreign equivalent in one of these disciplines plus five years of progressively responsible experience.
A/B testing and experimentation design.
Causal inference and incrementality measurement.
Statistical modeling and data analysis.
ETL development and maintenance.
KPI design and goal setting.
Cross-functional collaboration, data visualization, and reporting.
Python, SQL, machine learning, and predictive modeling.
Any suitable combination of education, training, and experience is acceptable.
Culture & Benefits
Full-time telecommuting is available.
Comprehensive healthcare benefits and income replacement programs.
401(k) with employer match and global benefit programs covering workspace, professional development, and caregiving support.
Family planning support, gender-affirming care, mental health and coaching benefits.
Flexible vacation, paid volunteer time off, and generous paid parental leave.
Hiring process
Submit a resume with references through the application button or by email to applicationsreview@reddit.com, citing Req. #1016.244.3.
In select roles and locations, interviews may be recorded, transcribed, and summarized by AI; candidates may opt out before scheduled interviews.
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