Lead Data Scientist (Safety)

Overview

As Lead Data Scientist at Faculty, you steer upstream AI safety research and evaluation standards, collaborating with Frontier Labs to shape novel experiment frameworks. You mentor data scientists and ensure delivery excellence across high-stakes engagements, bridging science with client strategy. You advance industry leadership through robust methodologies and open-source research, contributing to practical safety in real-world deployments. This role offers impact at the intersection of research, engineering, and strategic advisory.

Responsibilities

• Direct project teams to deliver upstream AI safety solutions and evaluation standards for Frontier Labs
• Architect core experimental designs and robust software infrastructure for high-impact safety engagements
• Mentor data scientists and foster an inclusive, high-performing team culture
• Collaborate with commercial leads and executives to scope technical work and translate challenges into scientific frameworks
• Advance Faculty’s leadership by innovating evaluation methodologies and contributing to open-source research
• Establish and maintain scientific methodology, rigor, and engineering best practices across project lifecycles

Key requirements

• Leadership experience in quantitative data science or upstream AI safety research or academic research with strong experiment design
• Advanced Python expertise with NumPy and Pandas; familiarity with AI evaluation frameworks (e.g., Inspect AI) and agentic harnesses and sandboxing environments
• Passion for advancing evaluation standards in complex domains with technical rigor
• Ability to empower others, share knowledge, and foster collaboration
• Strong commercial acumen and ability to articulate complex strategies to senior clients and partners
• Proven ability to drive strategic execution and scope high-impact projects to meet timelines

• leadership
• mentoring
• clear communication
• Python
• NumPy
• Pandas

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