In the 12 months to 30 Jun 2026, Anthropic filed 46 H-1B positions classified as Data Scientists. Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.
Geared toward data scientists comfortable with building personalization models and designing experiments, with a preference for candidates experienced in growth and lifecycle marketing who can work in hybrid office environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Anthropic via Greenhouse
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
The Growth team helps more people and companies use and pay for Claude. In this role, you’ll focus on personalization, building and evaluating the models and experiments that choose the right message, offer, or product experience for each user. Your work will span lifecycle marketing, onboarding, and in-product experiences.
Claude is a collaborator in much of our analysis, reporting, and experimentation, and you’ll help us find new ways to use it in this work.
Key responsibilities
Build and ship targeting and personalization models that decide which users get which message, offer, or experience, working closely with growth product managers and engineers
Design tests to evaluate and improve our personalization strategy, including holdouts, bandits, and off-policy estimates where A/B tests aren’t practical
Design and analyze A/B tests and quasi-experiments across activation, retention, and monetization, and turn the results into actionable recommendations
Develop a system of metrics and guardrails that connects short-term wins to long-term value
Minimum qualifications
Experience applying data science to growth, lifecycle, or personalization problems
Experience building and shipping machine learning models that drive user-facing decisions, such as targeting, ranking, recommendation, or personalization
Experience with experimental design and causal inference, including A/B testing at scale, holdouts, and quasi-experimental methods
Proficiency in Python and SQL
Experience communicating analysis in writing and making recommendations that influenced priorities across teams
Ability to prioritize and make progress when requirements are unclear or changing
Interest in Anthropic’s mission of building safe and beneficial AI
Preferred qualifications
7+ years of experience in data science
Experience running contextual bandits, uplift models, or similar decision systems in production
Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement challenges, such as global holdouts and interference between campaigns
Experience defining activation metrics and lifecycle measurement for a product-led business
Experience with experimentation platforms and meta-analysis across experiment portfolios
Experience working on consumption-based, multi-product businesses serving both consumers and enterprises
Experience using LLMs or coding agents in your analytical workflow
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:$285,000—$380,000 USDLogistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Source: Anthropic careers (Greenhouse)