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.

Job Description

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 driving marketing effectiveness through data-driven insights and analytics. In this unique company, technology, and moment in history, 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 to the world.

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've worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable marketing analytics systems and processes as our company goes through a phase of rapid growth.

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 embedded in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
Experienced in measuring different types of marketing activities, have a holistic view of how different programs are supporting each other (e.g. brand & growth, consumer & enterprise)
Solid technical skills in experimentation and causal inference to measure the incrementality of the spend;
Experience in building user segmentation to inform marketing strategies
A 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
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 about customer behavior and marketing performance
Highly effective written communication and presentation skills, with ability to translate complex analyses into actionable marketing insights

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$275,000—$370,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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. 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

Data Scientist, Marketing