Data Scientist

About Anthropic

Anthropics 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 companys mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our 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. Youve 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 companys 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

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process