Used Tools & Technologies
Machine Learning LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
SQL @ 5
A/B Testing @ 3
Data Science @ 3
Leadership @ 3
Communication @ 6
Reporting @ 3
AI @ 3
Data Visualization @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. As part of the Data Science & Analytics team, you will drive data-informed decisions across the commercial customer lifecycle, working at the intersection of fast-moving sales operations and rigorous statistical analysis. You will partner with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy and own measurement and analysis for acquisition, activation, expansion, and retention for a consumption-based AI platform.
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
Requirements
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
- 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
Compensation
Annual Salary: $275,000 - $370,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Location-based hybrid policy: staff are expected to be in one of our offices at least 25% of the time
- Minimum years of experience: will correlate with internal job level requirements for the position
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist when possible
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration