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Data Scientist, Safeguards

New York City, NY; San Francisco, CA; Seattle, WA

Pay
USD 285,000–380,000/year — pay source
Annual Salary: $285,000—$380,000 USD Logistics
The annual compensation range for this role is listed below.
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Work setting
Not stated
Employment
Not stated

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
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What you’ll work on

Full posting

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.

You will work closely with product, engineering, policy & 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.

  • Dig into user behavior data to surface safety concerns

  • Define core team metrics, set goals, build forecasts, and report on performance

  • Find and size product opportunities to shape the roadmap

  • Design and analyze controlled experiments on product changes

  • Set up data best practices and make data easier to access company-wide

From the employer’s posting
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.
You will work closely with product, engineering, policy & 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.
Deep dive into user behavior data to provide insights on safety concerns
Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

What you’ll bring

All qualifications

Core experience

  • Expertise in Python, SQL, and data visualization tools.
  • Experience in turning open questions and data into concise and insightful analysis.

Preferred experience

  • 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
  • 3+ years of experience deeply embedding in Product teams.
  • Experience working on safety, anti-abuse, integrity shaped problems.
Qualification wording
Expertise in Python, SQL, and data visualization tools.
Experience in turning open questions and data into concise and insightful analysis.
8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
3+ years of experience deeply embedding in Product teams.
Experience working on safety, anti-abuse, integrity shaped problems.
Education & alternatives
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

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
Minimum qualifications - Expertise in Python, SQL, and data visualization tools. - A bias for action and urgency, not letting perfect be the enemy of the effective.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

In the employer’s words · Read in context

Posting record

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Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 3, 2026 · 148 days ago
Recorded sightings
188
Last seen by us
Oct 29, 2026

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Job description

View 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 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. 

You will work closely with product, engineering, policy & 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.

Key responsibilities

  • Deep dive into user behavior data to provide insights on safety concerns
  • Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
  • Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
  • Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
  • Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

Minimum qualifications

  • Expertise in Python, SQL, and data visualization tools.
  • A bias for action and urgency, not letting perfect be the enemy of the effective.
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
  • A deep curiosity and energy for pulling the thread on hard questions.
  • Experience in turning open questions and data into concise and insightful analysis.
  • Highly effective written communication and presentation skills.
  • A passion for the company's mission of building helpful, honest, and harmless AI.

Preferred qualifications

  • 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
  • 3+ years of experience deeply embedding in Product teams.
  • Experience working on safety, anti-abuse, integrity shaped problems.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

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 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.

Source details

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Pay
Annual Salary: $285,000—$380,000 USD Logistics
More source context
The annual compensation range for this role is listed below.
Location & working pattern

New York City, NY; San Francisco, CA; Seattle, WA

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.
Work authorization
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.

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