Data Scientist, AI‑Driven Developer Productivity

Anthropic; San Francisco (CA); Hybrid; USD 380,000 - 460,000; Full time

Job summary

Anthropic is seeking a data-driven leader to define and measure developer productivity in an AI-first org. You will own end-to-end data strategy, from metrics to experiments, partnering with Dev Productivity leadership to align on what productivity means and how to move it.

The role blends data science, developer experience, and frontier AI, building pipelines, dashboards, and causal evidence while remaining hands-on and ready to revise conclusions as new data arrives.

Qualifications

• Production-quality SQL and Python to build pipelines, dashboards, and models independently.
• Experience serving as the primary data or analytics voice in undefined problem spaces and helping define them.
• Track record of holding conclusions loosely and revising views in public when warranted by evidence.
• Experience shaping what an engineering or product team works on, not just what they ship.
• Genuine interest in how AI changes software development, with practical experience grappling with hard, ill-defined questions.
• Comfort presenting data-backed conclusions to engineers, even when that means saying a built feature isn’t moving the needle.

Responsibilities

• Lead ambiguous, high-stakes investigations to clarify the question and measure impact.
• Instrument early, collect evidence broadly, and revise priors as the picture sharpens.
• Partner with Dev Productivity leadership to set research and measurement agenda.
• Define a metrics framework for developer productivity in an AI-augmented org.
• Design and run experiments on internal tooling and workflows to build causal evidence.
• Influence engineering, infrastructure, and product leadership with data-driven insights.

Skills

SQL

Python

Data pipelines

Dashboards

Experimentation

Communication

Causal inference

Education

Bachelor's degree

Tools

Internal tooling

Job description

Anthropic is seeking a data-driven leader to define and measure developer productivity in an AI-first org. You will own end-to-end data strategy, from metrics to experiments, partnering with Dev Productivity leadership to align on what productivity means and how to move it.

The role blends data science, developer experience, and frontier AI, building pipelines, dashboards, and causal evidence while remaining hands-on and ready to revise conclusions as new data arrives.