Data Scientist, Marketing

Anthropic•Seattle, WA

2d•$275,000 - $370,000•Hybrid

About The Position

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.

Requirements

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
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

Responsibilities

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