Data Scientist, Marketing

Anthropic; San Francisco (CA); Hybrid; USD 275,000 - 355,000; Full time

Job summary

Anthropic is seeking a Data Scientist/Analyst to drive marketing effectiveness through data-driven insights. In this role, you will collaborate with various teams to define key metrics, analyze customer behavior, and build robust marketing analytics processes. This position requires a strong background in data science, expertise in tools like Python and SQL, and a passion for building impactful AI solutions.

Benefits

Competitive compensation and benefits

Generous vacation and parental leave

Optional equity donation matching

Flexible working hours

Qualifications

• 6+ years of data science or analytics experience, preferably in marketing.
• Experience with audience targeting and channel optimization.
• Strong communication skills to translate complex data into insights.

Responsibilities

• Analyze marketing performance data to drive strategic decisions.
• Define marketing success metrics and measure campaign effectiveness.
• Develop a culture of experimentation and hypothesis testing in marketing.

Skills

Data Analysis

Marketing Analytics

SQL

Python

A/B Testing

Education

Bachelor's degree in a related field

Tools

Marketing Analytics Platforms

Visualization Tools

Job description

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.

About the role:

As an early member of our Data Science and Analytics 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 controlled experiments, analyze the results, and make recommendations based on impact to key metrics
• Develop a unified view of customer behavior across products through deeper analysis
• 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 may 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
• 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
• Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks
• 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 salary range for this position is:

$275,000 - $355,000 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.

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.

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