Data Scientist, Growth
$285k - $380kAnthropic
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
- 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.
$285,000 - $380,000 USD
Logistics
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/careers 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.
We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”
Agreement to Arbitrate
I understand and agree that both Anthropic and I waive our respective rights to trial by jury in connection with any claims covered by this agreement to arbitrate. Instead, any disputes arising out of or related to my application for employment with Anthropic shall be settled by final and binding arbitration pursuant to the Federal Arbitration Act. I understand and agree that Anthropic’s employees/agents, Anthropic’s clients, and their employees/agents are third‑party beneficiaries to this agreement.
The arbitration shall be conducted in accordance with the Employment Arbitration Rules & Procedures of Judicial Arbitration and Mediation Services, Inc. (“JAMS Rules”), available via the internet at or by searching for “JAMS Employment Arbitration Rules” in an online search service such as To the extent the JAMS Rules are inconsistent with the terms of this Agreement, this Agreement shall govern to the extent permitted by law. The parties will select one neutral arbitrator, who will have the authority to award all relief in law or equity that is requested by the parties and supported by credible, relevant, and admissible evidence. The arbitrator shall allow adequate discovery and issue a written, signed, and reasoned award. Judgement may be entered on the arbitrator’s award in any court having jurisdiction, and the award shall be subject to correction, confirmation, or vacation as provided by the applicable law concerning judicial review of arbitration awards. Anthropic will bear the costs that are particular to the arbitration, such as the arbitrator fees. The arbitrator will apply the substantive law of the state in which I sought employment with Anthropic. The arbitrator will determine the arbitration venue, based on fairness and convenience to the parties and witnesses, unless otherwise mutually agreed upon by the parties. The Party initiating a claim under this Agreement must make a written demand for arbitration to the other Party. The demand for arbitration shall identify the claims asserted, the facts upon which such claims are based, and any relief or remedy sought. Written demand for arbitration to Anthropic must be sent to Anthropic PBC at View email address on click.appcast.io. Anthropic’s demand for arbitration shall be sent to the most recent mailing address and/or email address that Anthropic has on file for you.
This agreement to arbitrate does not apply to claims for workers’ compensation, unemployment compensation benefits, claims or charges before any administrative agency having jurisdiction over such claims, or any other claim that is not subject to arbitration under federal law. If any claims are deemed non‑arbitrable, then those claims will be stayed until resolution of any arbitrable claims.
I understand and agree that, except where prohibited by federal law, all claims subject to this agreement to arbitrate must be pursued on an individual basis, and that both I and Anthropic waive any right to bring or be a party to any class or collective action. I agree that any issues pertaining to the enforceability, application or validity of this agreement to arbitrate shall be decided only by a court of competent jurisdiction and not by an arbitrator. This agreement to arbitrate applies only in the United States.
Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.
As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:
A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
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