About the Role As a Domain Expert (Data Science), you’ll contribute deep, specialized data science expertise to one or more active AI projects. Engagements range from short-term problem solving to longer-term collaborations, depending on project needs and mutual fit. Experts work closely with our internal team and with other Experts to shape, test, and scale systems at the frontier of human–AI collaboration. This role is designed for experienced data scientists who enjoy autonomy, thrive in ambiguity, and care deeply about rigor, clarity, and real-world impact. What You’ll Do Apply deep data science expertise to real, high-impact projects Collaborate with team members and other Experts to scope problems, design solutions, and iterate quickly Review and evaluate AI-generated analytical work for correctness, statistical soundness, and practical relevance Engage through internal tooling, with contributions tracked to support transparency, feedback, and long-term reputation building Tools & Context Experts in this role routinely work with—or help AI agents reason about—the same tools and artifacts used in professional data science environments, including: Python (e.g., pandas, NumPy, scikit-learn) SQL Jupyter / notebook-based workflows Data warehouses and analytics platforms Dashboards, metrics definitions, and experiment readouts Research papers You May Be a Good Fit If You Are a subject-matter expert with meaningful experience in data science, experience with "how you would inspect data" Have 5+ years of professional experience applying data science in real-world settings - a PhD isn't required but deep scientific curiosity is Have worked on ambiguous, high-impact analytical problems Can clearly explain analytical reasoning and uncertainty Prefer flexible, contract-based engagements over traditional full-time roles Are motivated by impact, learning, and collaborating with highly capable peers Care deeply about craft, rigor, and thoughtful execution