Data Scientist, GTM

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 part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities · Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products · Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy · Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations · Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions · Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes · Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership · Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications · Proficiency in Python, SQL, and data visualization tools · Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments · Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences · Strong written communication and presentation skills · Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications · 5+ years of experience in data science or analytics roles · A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models · Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem · Genuine interest in Anthropic's mission of developing safe and beneficial AI 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. Annual Salary: $285,000—$380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.