Data Scientist, Developer Productivity

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. This Data Scientist, Developer Productivity role partners with Developer Productivity engineering leadership to define what 'developer productivity' means in an AI-first org and to set the strategy for how Anthropic measures, understands, and improves it. The role sits at the intersection of data science, developer experience, and frontier AI, with Anthropic's own teams as users.

• Lead ambiguous, high-stakes investigations where the question isn't yet well-formed — from 'is Claude making engineers faster?' to 'what does faster even mean here?'
• Partner with Developer Productivity engineering leadership to set the team's measurement and research agenda — what to study, what to build, what to stop
• Define the metrics framework for developer productivity in an AI-augmented org and drive its adoption as the basis for tooling and infrastructure investment decisions
• Design and run experiments on internal tooling and workflow changes; build the causal evidence base for what actually moves productivity
• Influence engineering, infrastructure, and product leadership with data, pushing back when the data doesn't support the prevailing narrative
• Build the analytical foundations (pipelines, dashboards, models) hands-on, staying close to the work

• Experience writing production-quality SQL and Python (or a similar language) to build pipelines, dashboards, and models independently
• Experience serving as the primary data or analytics voice in a space where the questions weren't yet well-defined
• A track record of holding conclusions loosely — favoring instrumentation and evidence-gathering over defending a prior position
• Experience shaping what an engineering or product team worked on, not only measuring what they shipped
• Genuine interest in how AI is changing the way software gets built, with firsthand experience grappling with the harder, less-defined parts
• Comfort presenting data-backed conclusions to a room of engineers, including when that means saying a built feature isn't moving the needle

• 8+ years of hands-on data science experience, ideally in infrastructure, performance, or platform contexts
• Direct experience with developer productivity, developer experience, or internal tooling
• Experience measuring the adoption or impact of AI-assisted workflows or other tooling where ground truth was contested
• A track record of building an experimentation or causal-inference practice in an org that didn't already have one
• Prior staff-level or tech-lead scope: setting direction for other ICs and owning a domain's data strategy end to end

Annual salary: $380,000—$460,000 USD. Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience. Location-based hybrid policy: all staff expected in one of Anthropic's offices at least 25% of the time. Visa sponsorship is offered. Applications are reviewed on a rolling basis; no deadline to apply.