<div><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2>About this role</h2> <p>As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. 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. </p> <p>You will work closely with product, engineering, policy &amp; enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement 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 building robust and scalable systems and processes as our company goes through a phase of rapid growth. </p> <h2><strong>Responsibilities</strong>:</h2> <ul> <li>Deep dive into user behavior data to provide insights on safety concerns</li> <li>Define core metrics that measure the teams success. Set goals, build forecasts, monitor performance, and develop actionable reporting</li> <li>Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations</li> <li>Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics</li> <li>Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company</li> </ul> <h2><strong>You might be a good fit if you have:</strong></h2> <ul> <li>6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context</li> <li>3+ years of experience deeply embedding in Product teams</li> <li>A passion for the companys mission of building helpful, honest, and harmless AI.</li> <li>Expertise in Python, SQL, and data visualization tools</li> <li>A bias for action and urgency, not letting perfect be the enemy of the effective</li> <li>A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress</li> <li>A deep curiosity and energy for pulling the thread on hard questions</li> <li>Experience in turning open questions and data into concise and insightful analysis</li> <li>Highly effective written communication and presentation skills</li> </ul><div><div><div><p>The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.</p></div><div>Annual Salary:</div><div><span>$275,000</span><span>—</span><span>$355,000 USD</span></div></div></div><div><h2><strong>Logistics</strong></h2> <p><strong>Education requirements: </strong>We require at least a Bachelors degree in a related field or equivalent experience.<strong><br /><br />Location-based hybrid policy:</strong> 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.</p> <p><strong>Visa sponsorship:</strong> 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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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.</p> <h2><strong>How were different</strong></h2> <p>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.</p> <p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p> <h2><strong>Come work with us!</strong></h2> <p>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. <strong>Guidance on Candidates AI Usage:</strong> Learn about <a href="https://www.anthropic.com/candidate-ai-guidance" target="_blank">our policy</a> for using AI in our application process</p></div>