Staff Data Scientist, Safety Insights
New
R
RedditTech Safety
This role is completely remote friendly within the United States.Full-TimeStaff
Salary217,000 - 303,900 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 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
- Required Skills
- PythonSQLMachine LearningProduct AnalyticsData scienceGenerative AI
Requirements
- 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.
- 8+ years of industry data science experience for M.S. holders or 4+ years for Ph.D. holders.
- Fluent with statistical analysis.
- Proficiency in Python.
- Proficiency in SQL.
- Comfortable in innovative and fast-paced environments.
- Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences.
- Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components.
Responsibilities
- 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 to estimate the impact and ROI of safety initiatives.
- 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.
- Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse.
View Full Description & ApplyYou'll be redirected to the employer's site
