AI summary
Data Scientist, Marketing role at Anthropic, an AI safety-focused frontier AI company, shaping lifecycle, personalization, and marketing measurement as an early member of the Data Science team. You'll partner with marketing, product, and commercial teams to define north star metrics, run experiments/causal studies, and build scalable marketing analytics foundations. Standout perk: competitive compensation and benefits plus flexible working hours and generous leave.
Key skills
Data science / machine learningMarketing analyticsExperiment design (A/B testing)Causal inference / Causal AIUser segmentationLifecycle and personalization measurementDefining north star metrics and guardrailsStakeholder partnering (marketing/product/commercial)Building scalable analytics systemsBachelor's degree (relevant field) or equivalent experience
Salary not listed — comparable New York Data Scientist (Marketing) roles typically pay roughly $170k–$240k base, often plus bonus/equity depending on level.
You'll thrive here if you enjoy embedding with marketing teams to turn data into clear measurement systems and experiments, and you're motivated by Anthropic’s mission of helpful, honest, harmless AI.
Why apply
- Work on safe frontier AI
- Visa sponsorship support available
- Flexible hours, generous leave
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.
As an early member of our Data Science team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by aligning our marketing programs to benefit our customers, users and society. In this unique company, technology, and moment in history, your work will be critical to informing our marketing and personalization strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with marketing, product, and commercial teams to define and measure key success metrics and measurement approaches for our lifecycle and personalization efforts. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable marketing analytics systems as our company continues through a period of rapid growth and evolution.
Partner closely with marketing, product and commercial teams to understand our products and underlying user needs
Establish north star metrics and guardrails to understand the effectiveness of different marketing interventions
Develop a feedback approach which enables continuous learning and improvement for the teams operating in different marketing categories
Identify hypotheses on marketing initiatives, design experiments or causal inference studies, analyze the results, and make recommendations based on impact to key metrics
Build a data-driven marketing culture from the ground up by establishing foundational marketing analytics best practices and making marketing data more accessible across the company
6+ years of experience in data science or ML role, preferably in a marketing or customer acquisition context
3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful systems that drive business outcomes
A passion for the company's mission of building helpful, honest, and harmless AI
Experience building user segmentation systems to drive marketing campaigns
Experience with the ecosystem of Causal AI and related technologies
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.
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
Location-based hybrid policy: 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.
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 believe that the highest-impact AI research will be big science. 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. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.
As an early member of our Data Science team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by aligning our marketing programs to benefit our customers, users and society. In this unique company, technology, and moment in history, your work will be critical to informing our marketing and personalization strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with marketing, product, and commercial teams to define and measure key success metrics and measurement approaches for our lifecycle and personalization efforts. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable marketing analytics systems as our company continues through a period of rapid growth and evolution.
Partner closely with marketing, product and commercial teams to understand our products and underlying user needs
Establish north star metrics and guardrails to understand the effectiveness of different marketing interventions
Develop a feedback approach which enables continuous learning and improvement for the teams operating in different marketing categories
Identify hypotheses on marketing initiatives, design experiments or causal inference studies, analyze the results, and make recommendations based on impact to key metrics
Build a data-driven marketing culture from the ground up by establishing foundational marketing analytics best practices and making marketing data more accessible across the company
6+ years of experience in data science or ML role, preferably in a marketing or customer acquisition context
3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful systems that drive business outcomes
A passion for the company's mission of building helpful, honest, and harmless AI
Experience building user segmentation systems to drive marketing campaigns
Experience with the ecosystem of Causal AI and related technologies
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.
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
Location-based hybrid policy: 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.
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 believe that the highest-impact AI research will be big science. 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. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.