Reddit
Staff Data Scientist, Safety Insights
Vaga remota de Data Science com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Staff Data Scientist, Safety Insights
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit.
- Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes.
- Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization.
- Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety.
- Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring.
- Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows.
- Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs.
- Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity.
- Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc.
- Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required)
- Fluent with statistical analysis, programming languages (e.g., Python) and SQL.
- Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
- Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike
- Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
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