Data Scientist, GTM

The shape of it

In the posting’s own words

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.

What it asks for · 5

• 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

Also a plus

• 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

What the job covers

• 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

Tools and skills named

Words the posting leans on

• data9×
• commercial6×
• analytics5×
• actionable4×
• products4×
• data science3×
• models3×
• statistical3×
• technical3×
• actionable insights2×
• ai/ml2×
• analyses2×
• analysis2×
• beneficial2×
• build2×
• causal inference2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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