Data Scientist, Developer Productivity
Core
Drive data-informed decision making across the company by defining metrics, building measurement frameworks, and analyzing developer productivity and engineering effectiveness.
Role type
Senior Data Scientist (Developer Productivity & Analytics)
Builds
Quantitative foundations for engineering output, tooling roadmaps, and infrastructure priorities for Anthropic's AI systems.
Domain
AI/ML industry, Developer Experience, Software Engineering Analytics
Deliverable
dashboards & analysis
Required skills
Python, SQL, data visualization, experimental design, causal inference, statistical modeling, A/B testing, root cause analysis, simulation, optimization
Preferred skills
7+ years data science/analytics experience, developer productivity/platform team experience, distributed systems/cloud infrastructure knowledge, AI/ML product experience, comfort with ambiguity
Technologies
Python, SQL, A/B testing frameworks, simulation tools
Responsibilities
Define key metrics and maintain core reporting for developer productivity; Deep dive into product/user data to derive insights and influence roadmaps; Apply rigorous causal inference methods to make recommendations; Investigate anomalies and conduct root cause analyses; Build statistical models and optimization frameworks to automate processes; Present complex analyses to technical and non-technical stakeholders; Establish foundational data practices and scale analytics infrastructure.
Seniority
Senior, hands-on IC
