Overview Join to apply for the Data Scientist, API role at Anthropic .

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.

About the Role As an early member of our Data Science and Analytics team focusing on our API, you will play a critical role in driving the growth and optimization of Anthropic's API products that power thousands of developers and enterprises building with AI. You’ll work at the intersection of product strategy, customer insights, and revenue optimization to help scale our API platform from millions to billions of API calls while maintaining our commitment to safety and reliability. You will partner closely with product, engineering, and go-to-market teams to understand developer and enterprise customer behavior, identify growth opportunities, and drive data-informed decisions that shape our API roadmap. This role offers a unique opportunity to influence how AI is deployed at scale across industries while working with cutting-edge language models and developer tools.

Responsibilities

API Product Analytics: Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization

Revenue & Retention Analysis: Analyze customer lifecycle metrics, revenue retention patterns, and usage-based billing dynamics to identify opportunities for growth and reduce churn across API customer base

Developer Experience Optimization: Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem

Customer Segmentation & Insights: Build models to segment API customers by use case, company size, and behavioral patterns to inform targeted product development and go-to-market strategies

Cross-Platform Analysis: Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences and optimization opportunities

Experimentation & A/B Testing: Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive improvements in key metrics

Predictive Modeling: Develop models to forecast API usage, predict customer growth potential, and identify signals of expansion or churn risk

Enterprise Customer Intelligence: Partner with sales and customer success teams to analyze enterprise usage patterns, measure feature adoption, and provide insights that inform account strategy

Qualifications

You may be a good fit if you have 6+ years of experience in data science or analytics roles, with significant experience in API products, developer tools, or B2B SaaS platforms

You may be a good fit if you have 3+ years of experience working with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy

Deep expertise in Python, SQL, and statistical analysis, with experience analyzing usage-based billing models and API consumption patterns

Experience with enterprise customer analytics, including customer lifecycle modeling, retention analysis, and revenue optimization

Understanding of developer ecosystems and API metrics such as adoption rates, integration patterns, rate limiting impacts, and onboarding funnels

Track record of designing and analyzing A/B tests and controlled experiments in technical product environments

Ability to translate complex API usage data into clear, actionable insights for technical and business stakeholders

Bias for action and ability to thrive in ambiguous, fast-moving environments

Experience with high-volume, real-time data systems and understanding technical constraints that inform product decisions

Strong Candidates May Also Have

Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

Background in analyzing multi-platform ecosystems (cloud providers, marketplaces) and understanding platform dynamics

Experience with usage-based pricing models, API rate limiting strategies, and developer monetization

Knowledge of enterprise sales cycles and experience supporting B2B sales teams with data insights

Familiarity with cloud platforms (AWS Bedrock, Google Vertex AI) and their impact on customer behavior

Experience building and maintaining data infrastructure for high-scale API products

Background in customer research methodologies and survey design for developer communities

Annual Salary 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. Some roles may require more time in offices.

Visa sponsorship: We do sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa and we retain an immigration lawyer to help.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every listed qualification. We value diverse perspectives on our team.

How We're Different We believe the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts. We value impact and steerable, trustworthy AI. We are an extremely collaborative group and value strong communication skills. Our research directions include 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 collaborative office space.

#J-18808-Ljbffr