Data Scientist

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

You will work closely with leaders across the organization to define and measure key success metrics, analyze user and model behaviors to identify new opportunities, and build a culture of developing and testing hypotheses through experimentation. 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.

Responsibilities

Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success

Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations

Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – 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

5+ years of experience in data science or analytics roles

Deep expertise with Python, SQL, and data visualization tools

Expertise with experimental design, causal inference, statistical modeling, and A / B testing frameworks, 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

Some experience with AI / ML products, large language models, or developer tools in the AI / ML ecosystem

Strong candidates may also have

Experience building digital products or developer tools using LLMs

Familiarity with building and maintaining data infrastructure for high-scale products

Experience supporting B2B sales teams with data insights

Strong instincts for what drives product adoption, engagement, and retention

Compensation

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.

$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. 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.

EEO note :

We are an equal opportunity employer. We encourage you to apply even if you do not believe you meet every single qualification. We strive to create a diverse team and to include a range of 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. Legitimate 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 anthopic.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. We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than working on smaller puzzles. We view AI research as an empirical science and we are highly collaborative, with emphasis on communication skills.

The easiest way to understand our research directions is to read our recent work. This research continues many directions we work on, 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 to collaborate with colleagues.

We welcome inquiries about AI usage in our application process. For more information, please visit our careers page.

Public submission : Accepted file types : pdf, doc, docx, txt, rtf.

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