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Data Scientist, Meta Superintelligence Labs (Safety)

Meta· Artificial Intelligence
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Menlo Park, CA$210k - $281kFull-timePosted 1w ago

About the role

Data Scientist on the Safety team within Meta Superintelligence Labs (MSL); focuses on establishing analytical foundations to advance safe and secure personal superintelligence, turning complex risks into measurable systems across model evaluations and online monitoring, and designing measurement and mitigation strategies in collaboration with cross-functional partners.

Responsibilities

  • Measure abuse: build statistical telemetry and measurement frameworks to detect and monitor policy violations or emergent harms
  • Scale model evaluation: design a scalable framework adapting to evolving agentic model capabilities and safety/risk landscape, grounded in statistics
  • Evaluate and optimize safeguards: scale offline and online performance evaluation of our safeguards using human-in-the-loop and active learning
  • Design experiments and analyses: Conduct controlled experiments and rollouts to evaluate the impact of policy or risk definition changes and safety mitigations
  • Build intelligence and reporting: build signals, pipelines, dashboards to enable real-time monitoring driving interventions and safety roadmaps

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in product data science, applied analytics, or quantitative research, including leading complex analytical workstreams in an individual contributor capacity
  • 12+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python or R), and statistical or mathematical software for large-scale data analysis
  • Experience developing and applying advanced statistical methods including predictive modeling, causal inference, experimentation design, and time series forecasting in a product context
  • Experience influencing product strategy and executive decision-making through data-driven narratives, written analytical frameworks, and stakeholder alignment across multiple cross-functional teams
  • Experience establishing analytical standards, data infrastructure best practices, or measurement frameworks adopted broadly across an organization or business domain

Skills

Required:SQLPython or RStatistical methods (predictive modeling, causal inference, experimentation design, time series forecasting)Data-driven storytelling and stakeholder alignment

Benefits

  • benefits (see posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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