Is the Data Scientist, GTM role remote?

It's hybrid — Anthropic expects some on-site time in San Francisco, USA.

What's the salary range?

Anthropic lists $275,000–$370,000 for this role.

How much experience is required?

At least 5 years of relevant experience for this Data Scientist, GTM role.

Where is the role based?

Anthropic is hiring for this position in San Francisco, USA.

What's the tech stack?

Joblaze extracted these technologies from the posting: A/B Testing, data visualization, Statistical Modeling, SQL, Python.

Does Anthropic sponsor work visas for this role?

Yes — the posting indicates visa sponsorship is available for the right candidate.

What seniority level is this role?

Anthropic targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Data Scientist, GTM role at Anthropic.

Data Scientist, GTM at Anthropic

Joblaze summary

In this role, the Data Scientist will focus on leveraging data to inform strategies throughout the customer lifecycle, from acquisition to retention, for Anthropic's AI platform. Proficiency in Python, SQL, and statistical modeling is essential, along with experience in experimental design and causal inference. This position is ideal for someone with over five years in data science or analytics, particularly in B2B environments, who thrives in dynamic settings and is passionate about AI's societal impact. Anthropic's collaborative culture emphasizes rigorous analysis and communication, making it a fitting environment for analytical professionals.

Joblaze insights

Listed today on Joblaze — tracked directly from Anthropic's career page.
Anthropic has 404 other open roles including Data Scientist, Marketing, Implementation Specialist , Director, Infrastructure Compute Procurement.
2374 active Python roles on Joblaze right now.
1043 active SQL roles on Joblaze right now.
37 active A/B Testing roles on Joblaze right now.
Salary band is above the typical range for Data Science (median ~$179,500).

Quick facts

Is the Data Scientist, GTM role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, USA.
What's the salary range?: Anthropic lists $275,000–$370,000 for this role.
How much experience is required?: At least 5 years of relevant experience for this Data Scientist, GTM role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, USA.
What's the tech stack?: Joblaze extracted these technologies from the posting: A/B Testing, data visualization, Statistical Modeling, SQL, Python.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Scientist, GTM role at Anthropic.

From the original posting

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 & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.

You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.

Key responsibilities

Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products
Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy
Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions
Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes
Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership
Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration

Minimum qualifications

Proficiency in Python, SQL, and data visualization tools
Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments
Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences
Strong written communication and presentation skills
Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists

Preferred qualifications

5+ years of experience in data science or analytics roles
A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Genuine interest in Anthropic's mission of developing safe and beneficial AI

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:

$275,000—$370,000 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 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.