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OpenRouter is the leading AI routing and infrastructure layer enabling developers and enterprises to access, manage, and optimize large language models across providers without lock-in or unnecessary cost. As a Data Scientist, you will build the intelligence layer powering how millions of developers and AI agents interact with the world's largest model marketplace.
You will own data questions end-to-end: framing problems, digging into data, and shipping answers that directly impact product and customer experience. Your work will inform routing heuristics, analytics products, and roadmap decisions.
Key responsibilities include:
- Building and improving rules, heuristics, and models that drive core model and provider routing systems
- Creating analytics products and conducting deep-dive analyses to help users understand usage, diagnose issues, and optimize workflows
- Designing and shipping user-facing data features such as task-type classification taxonomies and performance ranking pages
- Defining and tracking product metrics (feature adoption, engagement, platform health) that inform architectural decisions
- Contributing to the data warehouse (dbt, ClickHouse) to ensure analytical infrastructure scales
Required qualifications:
- 4+ years in data science, applied ML, or quantitative product roles at high-growth companies
- Production-level data product experience (models, algorithms, classifiers, scoring systems)
- Strong SQL skills with large-scale analytical databases (ClickHouse, BigQuery, or similar)
- Deep fluency with AI/LLMs; daily use of AI tools with informed opinions on model evaluation and prompt engineering
- Excellent statistical and mathematical foundations (distributions, causal inference, experimental design)
- Python proficiency for prototyping, simulations, and data pipelines
- Product-oriented mindset; ability to translate complex systems into clear, shippable solutions
- Strong written communication for technical and non-technical audiences
Bonus experience includes LLM evaluation/benchmarking, developer platforms, NLP/ML engineering, and TypeScript.
