Data Scientist, Claude Code

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an early member of our Data Science and Analytics team supporting Claude Code, you will play a critical role in shaping the future of AI-powered developer tools. Claude Code is Anthropic's command line tool that enables developers to delegate coding tasks directly to Claude from their terminal, representing a new frontier in human-AI collaboration for software development.

You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.

This role offers a unique opportunity to influence the development of cutting-edge AI tooling while working with some of the most sophisticated language models in the world. You'll help establish data foundations for a rapidly growing product in the emerging AI-assisted development space.

Responsibilities:

• Deep dive into how developers use Claude Code across different programming languages, project types, and workflows to provide insights that inform product strategy and feature development
• Design and implement metrics to quantify how Claude Code affects developer productivity, code quality, and development velocity across different use cases and skill levels
• Analyze patterns in human-AI collaboration within coding workflows, identifying opportunities to improve the handoff between developers and Claude for more effective task delegation
• Develop hypotheses about product changes, design controlled experiments with developer users, and analyze results to guide feature prioritization and development
• Identify friction points in the Claude Code user journey and provide data-driven recommendations to improve onboarding, retention, and long-term engagement
• Build robust measurement frameworks to understand CLI adoption patterns, feature utilization, and user segmentation across different developer personas and organizations
• Partner with engineering to build experimentation capabilities tailored to developer tools, accounting for the unique challenges of measuring productivity and satisfaction in coding workflows
• Establish foundational data practices and infrastructure to support rapid iteration and decision-making as the Claude Code product scales

You may be a good fit if you:

• Have 5+ years of experience in data science or analytics roles with significant focus on product analytics
• Have experience working with developer tools, IDEs, command line interfaces, or other technical products used by software engineers
• Are passionate about AI-assisted development and excited about the potential for AI to enhance developer productivity and creativity
• Have expertise in Python, SQL, and data visualization tools, with comfort working in command line environments
• Have experience measuring productivity, engagement, and satisfaction metrics for technical users or B2B products
• Possess strong instincts for what drives developer adoption and retention of technical tools
• Have a bias for action and pragmatism, comfortable making decisions with incomplete information in a fast-moving environment
• Thrive in ambiguity and take initiative to create clarity and drive progress on undefined problems
• Have experience turning complex technical usage patterns into clear, actionable insights for product and engineering teams
• Demonstrate exceptional written communication skills and ability to present findings to technical and non-technical stakeholders

Strong candidates may also have:

• Experience with software development workflows, version control systems, and common developer tools
• Background in developer experience research or working with technical communities
• Familiarity with AI/ML model outputs and experience analyzing human-AI interaction patterns
• Experience with command line tools, terminal-based workflows, and developer productivity measurement
• Understanding of software development lifecycle metrics and engineering productivity frameworks
• Experience working at developer-focused companies or on products targeting software engineers
• Knowledge of programming languages and ability to understand code-related usage patterns

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:$275,000—$355,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process