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Data Scientist, ProductAnthropicUnited States
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Data Scientist, Product

Anthropic
  • US
    United States
  • US
    United States

Über

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. As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our product organization. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with leaders from product, engineering, go-to-market, and research to define and measure key success metrics, analyze user and model behaviors to identify new opportunities, and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. Claude Developer Platform
You will partner closely with product, engineering, and go-to-market teams to drive growth and optimization across Anthropic's Claude Developer Platform — the foundational layer powering developers and enterprises building with AI. In this role you'll work at the intersection of product strategy, customer insights, and revenue optimization, surfacing insights about how developers adopt, integrate, and scale our core API, agent orchestration, and tool integrations. You'll drive data-informed decisions that shape our platform roadmap and influence how AI is deployed at scale across industries. This role offers a unique opportunity to work on the infrastructure that underpins both Anthropic's internal products and the broader developer ecosystem building with Claude. In this role you’ll also partner with teams building products like Claude for Excel for verticals outside of Coding. You'll surface insights about how enterprises adopt and scale our products across diverse use cases, measure the impact of vertical-specific features, and drive data-informed decisions that shape our enterprise growth strategy and our expansion into new markets. You'll guide enterprise product development by surfacing insights about how organizations evaluate, adopt, and scale AI-powered coding tools and inform go-to-market teams on how best to drive adoption. Help to shape how enterprises integrate AI into their software development workflows, partnering across marketing, growth, and product to turn groundswell developer enthusiasm into sustained enterprise-wide adoption. This role is 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. Key focus areas include developer usage patterns across the platform, driving adoption within the developer ecosystem, and developer segmentation. Deep dive into product and user data to derive actionable insights that inform product strategy and feature prioritization Define core metrics and build measurement frameworks to evaluate product performance, user engagement, and business outcomes Partner with cross-functional teams to understand customer behavior, identify growth opportunities, and drive data-informed decisions Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow Have 5+ years of experience in data science or analytics roles with significant focus on product analytics Possess deep expertise in Python, SQL, and data visualization tools Have experience with experimentation and A/B testing, including designing controlled experiments and analyzing results in technical product environments Have a track record of translating complex data into clear, actionable insights for both technical and business stakeholders Have a passion for the company’s mission of building helpful, honest, and harmless AI Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Background in customer lifecycle modeling, retention analysis, and revenue optimization Familiarity with building and maintaining data infrastructure for high-scale products Background in customer research methodologies and survey design For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy:
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. 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 believe that the highest-impact AI research will be big science. 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. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. 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.
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  • United States

Sprachkenntnisse

  • English
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