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About the Role

As an early member of the Data Science team, you will play an instrumental role in the company's mission of building safe and beneficial artificial intelligence by aligning marketing programs to benefit customers, users, and society. Your work will be critical to informing marketing and personalization strategy as the company deploys safe, frontier AI at scale.

Responsibilities

• Partner closely with marketing, product, and commercial teams to understand products and underlying user needs.
• Establish north star metrics and guardrails to understand the effectiveness of different marketing interventions.
• Develop a feedback approach enabling continuous learning and improvement for teams operating in different marketing categories.
• Identify hypotheses on marketing initiatives, design experiments or causal inference studies, analyze 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.

Requirements

• 6+ years of experience in a 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.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• An ability to thrive and drive clarity in ambiguous, fast-moving environments.

Location

• San Francisco

Work Type

• Hybrid

Experience Level

• 6+ years of experience in data science or ML role
• 3+ years of experience deeply embedding in Marketing teams

Education Level

• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• A field relevant to the role as demonstrated through coursework, training, or professional experience

Salary/Compensations

• $285,000—$380,000 USD

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• A lovely office space in which to collaborate with colleagues

About the Company

• 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.
• 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.
• 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.
• Anthropic is a public benefit corporation headquartered in San Francisco.

Equal Opportunity

• 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.