Anthropic
Data Scientist, Marketing
Anthropic – Mission: to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and society.
Job Description As an early member of our Data Science team, you will play an instrumental role in building safe and beneficial AI by driving marketing effectiveness through data‑driven insights and analytics. In this unique time, your work will be critical to informing our marketing strategy and optimizing our go‑to‑market approach as we deploy safe frontier AI at scale.
You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation. You have worked in cultures of excellence, and are eager to apply that experience to building robust and scalable marketing analytics systems as we grow rapidly.
Responsibilities
Deep dive into marketing performance data to provide insights to marketing leaders and influence the company's marketing strategy.
Define core marketing metrics that measure the team's success. Set goals, monitor performance, and develop actionable reporting for campaigns and channels.
Identify and size opportunities to improve marketing effectiveness, influencing marketing roadmap through your insights and recommendations on audience targeting, channel optimization, and messaging effectiveness.
Develop 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.
You Might Be a Good Fit If You Have
6+ years of experience in data science or analytics roles, preferably in a marketing or customer acquisition context.
3+ years of experience deeply embedding in marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes.
Experienced in measuring different types of marketing activities, with a holistic view of how programs support each other (e.g. brand & growth, consumer & enterprise).
Solid technical skills in experimentation and causal inference to measure the incrementality of spend.
Experience building user segmentation to inform marketing strategies.
Passion for the company's mission of building helpful, honest, and harmless AI.
Expertise in Python, SQL, and marketing analytics platforms and visualization tools.
Familiarity with both B2C and B2B/Enterprise marketing analytics.
Bias for action and urgency, not letting perfection be the enemy of the effective.
Strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Deep curiosity and energy for pulling the thread on hard questions about customer behavior and marketing performance.
Highly effective written communication and presentation skills, with ability to translate complex analyses into actionable marketing insights.
Annual Salary $1—$2 USD
Logistics
Education requirements:
At least a Bachelor's degree in a related field or equivalent experience.
Location‑based hybrid policy:
All staff expected to be in one of our offices at least 25% of the time; some roles may require more time in office.
Visa sponsorship:
We sponsor visas when possible, but not guaranteed for every role. We retain an immigration lawyer to assist if an offer is made.
We encourage you to apply even if you do not meet every single qualification. We strive to include a range of diverse perspectives. We urge underrepresented groups not to exclude themselves prematurely. We think AI systems we build have significant social and ethical implications, making representation even more important.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Research Services
#J-18808-Ljbffr
Job Description As an early member of our Data Science team, you will play an instrumental role in building safe and beneficial AI by driving marketing effectiveness through data‑driven insights and analytics. In this unique time, your work will be critical to informing our marketing strategy and optimizing our go‑to‑market approach as we deploy safe frontier AI at scale.
You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation. You have worked in cultures of excellence, and are eager to apply that experience to building robust and scalable marketing analytics systems as we grow rapidly.
Responsibilities
Deep dive into marketing performance data to provide insights to marketing leaders and influence the company's marketing strategy.
Define core marketing metrics that measure the team's success. Set goals, monitor performance, and develop actionable reporting for campaigns and channels.
Identify and size opportunities to improve marketing effectiveness, influencing marketing roadmap through your insights and recommendations on audience targeting, channel optimization, and messaging effectiveness.
Develop 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.
You Might Be a Good Fit If You Have
6+ years of experience in data science or analytics roles, preferably in a marketing or customer acquisition context.
3+ years of experience deeply embedding in marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes.
Experienced in measuring different types of marketing activities, with a holistic view of how programs support each other (e.g. brand & growth, consumer & enterprise).
Solid technical skills in experimentation and causal inference to measure the incrementality of spend.
Experience building user segmentation to inform marketing strategies.
Passion for the company's mission of building helpful, honest, and harmless AI.
Expertise in Python, SQL, and marketing analytics platforms and visualization tools.
Familiarity with both B2C and B2B/Enterprise marketing analytics.
Bias for action and urgency, not letting perfection be the enemy of the effective.
Strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Deep curiosity and energy for pulling the thread on hard questions about customer behavior and marketing performance.
Highly effective written communication and presentation skills, with ability to translate complex analyses into actionable marketing insights.
Annual Salary $1—$2 USD
Logistics
Education requirements:
At least a Bachelor's degree in a related field or equivalent experience.
Location‑based hybrid policy:
All staff expected to be in one of our offices at least 25% of the time; some roles may require more time in office.
Visa sponsorship:
We sponsor visas when possible, but not guaranteed for every role. We retain an immigration lawyer to assist if an offer is made.
We encourage you to apply even if you do not meet every single qualification. We strive to include a range of diverse perspectives. We urge underrepresented groups not to exclude themselves prematurely. We think AI systems we build have significant social and ethical implications, making representation even more important.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Research Services
#J-18808-Ljbffr