# Data Scientist

**Company:** [OpenRouter](https://hotfix.jobs/companies/openrouter)
**Location:** Remote
**Role:** Data Science
**Salary:** $180k – $240k/yr
**Experience:** 4+ years
**Skills:** Python, SQL, ClickHouse, BigQuery, dbt, TypeScript, Machine Learning, NLP, llm evaluation, Prompt Engineering, Causal Inference, experimental design, Data Pipelines, Embeddings, ranking models
**Posted:** 2026-08-13

> 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.

## Job Description

## 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.

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