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OpenRouterOpenRouterUnited States

Data Scientist

The Data Scientist will turn large-scale LLM usage data into routing improvements, analytics products, and user-facing features. The role requires 4+ years of data science, applied ML, or quantitative product experience, plus strong SQL, Python, statistical, and AI expertise.

180k – 240k/yr
Remote4+ YOEData Science

About the role

Responsibilities

  • Build and improve the rules, heuristics, and models that drive model and provider routing systems.
  • Build analytics products and conduct deep-dive analyses that help users understand usage, diagnose issues, and optimize workflows while informing product strategy.
  • Design and ship user-facing data features, including task-type classification taxonomies and public rankings pages analyzing model performance by use case.
  • Define and track product metrics such as feature adoption, user engagement, and platform health, tying insights to roadmap and architectural decisions.
  • Contribute to the data warehouse using dbt and ClickHouse.

Requirements

  • Experience building and shipping production-level data products, including models, algorithms, classifiers, scoring systems, or automated processes.
  • Ability to partner with engineering and product teams to turn insights and analytics into customer-facing features.
  • Strong SQL skills, including complex, performant queries against large-scale analytical databases such as ClickHouse or BigQuery.
  • Deep fluency with AI and agents, including model evaluation, prompt engineering, and the agentic ecosystem.
  • Excellent statistical and mathematical foundations, including distributions, causal inference, and experimental design.
  • Proficiency in Python or a similar scripting language for prototyping models, running simulations, and building data pipelines.
  • 4+ years of relevant experience in data science, applied machine learning, or quantitative product roles at a high-growth company.
  • Product orientation and the ability to build for developers and translate ambiguous systems into shippable solutions.
  • Ability to work independently in fast-moving, low-structure environments.
  • Strong problem-solving and written communication skills.

Nice-to-haves

  • Experience with LLM evaluation and benchmarking, including online or offline evaluations, human-in-the-loop assessment, and safety or quality guardrails.
  • Experience with developer platforms, APIs, SDKs, or usage-based products.
  • NLP or machine learning engineering experience with classifiers, embeddings, or ranking models.
  • TypeScript experience and ability to contribute to routing, API, or front-end codebases.

Skills

PythonSQLClickHouseBigQuerydbtTypeScriptMachine LearningNLPllm evaluationPrompt EngineeringCausal Inferenceexperimental designData PipelinesEmbeddingsranking models

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