Data Scientist

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OpenRouter

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

OpenRouter is a platform providing a unified interface for interacting with various large language models (LLMs). It focuses on delivering better prices and uptime without the need for subscriptions. The platform supports multiple AI tasks and showcases models like Mistral Small 3 and DeepSeek R1 Distill Qwen 32B, which are designed for fast performance and high accuracy. OpenRouter also features gaming and coding tools that enhance usability across different sectors such as marketing, finance, and education.

📋 Description

• Build and improve rules, heuristics, and models driving model and provider routing systems • Build analytics products and conduct deep-dive analyses to help users understand usage, diagnose issues, and optimize workflows • Design and ship user-facing data features, including task-type classification taxonomies and public model-performance rankings • Define and track product metrics such as feature adoption, user engagement, and platform health • Tie insights to product roadmap and architectural decisions • Contribute to the dbt and ClickHouse data warehouse foundation • Partner with customer-facing, engineering, and product teams to turn insights into shipped features • Own analytical questions end to end, from problem framing through data investigation and delivery

🎯 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 convert insights and analytics into customer-facing features • Strong SQL skills, including complex, performant queries on large-scale analytical databases such as ClickHouse or BigQuery • Deep fluency with AI and agents, including model evaluation, prompt engineering, and the agentic ecosystem • Strong statistical and mathematical foundations in 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 ML, or quantitative product roles at a high-growth company • Product-oriented approach and strong product sense • Ability to work independently in fast-moving, low-structure environments • Heavy use of coding agents, MCP servers, and modern AI tools • Strong problem-solving ability and ability to navigate ambiguity • Strong written communication for technical and non-technical audiences • Experience with LLM evaluation and benchmarking, developer platforms, APIs/SDKs, usage-based products, NLP, machine learning engineering, or TypeScript is a bonus

🏖️ Benefits

• Equity offered