Drive data-informed decisions across the commercial customer lifecycle as a Data Scientist at Anthropic.
Posted by employer 5 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 3 hours ago
Joblaze summary
In this role, the Data Scientist will focus on leveraging data to inform strategies throughout the customer lifecycle, from acquisition to retention, for Anthropic's AI platform. Proficiency in Python, SQL, and statistical modeling is essential, along with experience in experimental design and causal inference. This position is ideal for someone with over five years in data science or analytics, particularly in B2B environments, who thrives in dynamic settings and is passionate about AI's societal impact. Anthropic's collaborative culture emphasizes rigorous analysis and communication, making it a fitting environment for analytical professionals.
Quick facts
- Is the Data Scientist, GTM role remote?
- It's hybrid — Anthropic expects some on-site time in New York City, NY; San Francisco, CA | New York City, NY.
- What's the salary range?
- Anthropic lists $275,000–$370,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Data Scientist, GTM role.
- Where is the role based?
- Anthropic is hiring for this position in New York City, NY; San Francisco, CA | New York City, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B Testing, Python, SQL, Statistical Modeling, data visualization.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist, GTM role at Anthropic.
From the original posting
About Anthropic
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
The annual compensation range for this role is listed below.
Annual Salary:
$285,000—$380,000 USD
Logistics
Standard company text repeated across Anthropic's postings is omitted here.