Description
As a Data Scientist, Product, you will play a crucial role in driving data-informed decision making across the organisation. You will define core metrics, build measurement frameworks, and maintain core reporting to evaluate success. You will also deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy, and operations.
Key responsibilities include:
- Defining core metrics, building measurement frameworks, and maintaining core reporting to evaluate success
- Deep diving into product and user data to derive actionable insights and size opportunities to improve products, strategy, and operations
- Developing hypotheses, applying rigorous causal inference methods, and analysing results to make actionable recommendations
- Investigating anomalies, conducting root cause analyses, and providing data-driven insights to guide priorities and inform decisions
- Building statistical models, optimisation frameworks, and simulations to automate decision-making and operational processes
- Presenting complex technical analyses and recommendations to both technical and non-technical stakeholders
You will be embedded with the Claude Code product team, driving data-informed decisions for Anthropic's agentic coding tool that enables developers to delegate coding tasks directly to Claude from their terminal. You'll help the team understand how developers interact with AI coding assistants, measure developer productivity and product quality, and identify opportunities to innovate the developer experience as the product scales.
Strong candidates may have deep familiarity with software development workflows, developer tools, and engineering productivity metrics,ideally from working at developer-focused companies or on products targeting software engineers. Experience analysing human-AI interaction patterns, particularly in code generation or developer tooling contexts, is also desirable.
You will be embedded with our Consumer product team, which is responsible for building all consumer-facing Claude experiences,including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions) is essential. Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement, and retention is also required.
You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform,spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
Key responsibilities include:
- 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
- Experience supporting B2B sales teams with data insights
- Strong instincts for what drives product adoption, engagement, and retention
You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyse user and model behaviour to identify new opportunities to push the frontier.
Key responsibilities include:
- 3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
- Comfort working with unstructured data
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