SalaryPine's logo

About Anthropic

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 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 organization. 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. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

Responsibilities:

Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
Deep dive into marketing and user data to derive actionable insights and size opportunities to improve strategy and operations, influencing roadmaps through your insights and recommendations
Develop hypotheses, apply rigorous causal inference methods and analyze the results in order make actionable recommendations
Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
Present complex technical analyses and recommendations to both technical and non-technical stakeholders
Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow

You may be a good fit if you have:

7+ years of experience as embedded DS within Marketing, Growth or GTM domains
Deep expertise with Python, SQL, and data visualization tools
Expertise with experimental design, causal inference, statistical modeling, particularly in high-scale technical environments
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
A passion for the company’s mission of building helpful, honest, and harmless AI
Exposure to AI/ML products, large language models, or developer tools in the AI/ML ecosystem

Claude Code/Cowork Marketing Data Scientist

You will partner with marketing, product, and GTM teams to understand how developers discover, adopt, and expand their use of Claude Code and Cowork —and how that individual adoption translates into enterprise deals. You'll map the full B2C2B funnel, identify where marketing can accelerate each stage, and build the experimentation muscle to test what actually moves the needle.

Strong candidates may have:

You have a product marketing mindset - you think in terms of user journeys, activation moments, and funnel conversion, not just campaign performance
Hands-on experience with B2C2B or PLG motions, and a point of view on how self-serve adoption and enterprise sales programs reinforce one another
A track record of surfacing opportunities others missed by connecting top-of-funnel behavior to downstream revenue
Experience building, selling, or marketing developer tools is a plus

Enterprise Marketing Data Scientist

You will partner with marketing and GTM teams to build the measurement foundation for Anthropic's enterprise marketing—defining what we want to learn, designing the methods to learn it, and establishing causal frameworks that tell us which marketing interventions actually drive pipeline and revenue.

Strong candidates may have:

Demonstrated ability to co-develop learning agendas with stakeholders and translate business questions into rigorous analytical plans
Fluency in causal inference and machine learning methods and judgment about when each is appropriate
Experience building measurement frameworks from scratch—moving teams from "what happened" reporting to "what caused it" understanding
Background at consumption-based, multi-product B2B companies serving Enterprise customers is a plus

The annual compensation range for this role is listed below.

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:$275,000—$370,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. 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 think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process