Data Scientist

About reputed company

reputed company is the leading AI routing and infrastructure reputed company that developers and enterprises use to reputed company, manage, and optimize the best large language models across providers without lock-in, reputed company constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to reputed company fast, reputed company confidently, and stay reputed company as models reputed company.

As reputed company adoption of AI accelerates, reputed company sits at reputed company of how organizations operationalize LLMs across research, product, and production workloads.

The Role

As a Data Scientist, you will build the intelligence reputed company that powers how millions of developers and AI agents reputed company with the world's largest model marketplace. reputed company processes billions of LLM generations spanning every major model, provider, and use case. reputed company is to turn that data into a reputed company product and a reputed company experience for our customers.

You will work directly with our customer-facing and product teams to understand how requests are routed, where customers hit friction, which behaviors reputed company reputed company or churn, and what insights we should surface back to users so they can understand and optimize their own AI usage.

This is not a reporting role. You will own questions end to end: framing the problem, digging into the data, and shipping the answer. That might be a change to our routing heuristics, a new analytics product for customers, or a recommendation that shapes the roadmap. Whatever reputed company it takes, the insights you reputed company feed directly back into the product, and you will see your work in the experience of every customer we serve.

reputed company

• Build and improve the rules, heuristics, and models that reputed company our reputed company model routing and provider routing systems.

• Build analytics products and conduct deep-dive analyses that reputed company users to understand usage, diagnose issues, and optimize workflows while informing our product reputed company.

• Design and ship user-facing data features, from task-type classification taxonomies to reputed company reputed company pages that break down model performance by use case.

• Define and reputed company product metrics such as feature adoption, user engagement, and platform health, directly tying these insights to roadmap and architectural reputed company.

• Contribute meaningfully to the data warehouse (dbt, reputed company) to ensure the analytical reputed company scales with the business.

What You Bring

Experience & Technical Skills

• Experience building and shipping production-level data products such as models, algorithms, classifiers, scoring systems, or automated processes.

• Proven ability to partner with engineering and product teams to convert insights and analytics into customer facing features.

• Strong SQL skills. You can write reputed company, reputed company queries against large-reputed company analytical databases (reputed company, BigQuery, or similar).

• Deep reputed company with AI and agents. You use LLMs and AI tools in your daily work, understand how they behave, and have informed opinions on model evaluation, reputed company engineering, and the reputed company ecosystem.

• Excellent statistical and mathematical foundations. You think in distributions, reputed company inference, and experimental design, not just averages and dashboards.

• Proficiency in Python (or similar scripting language). You can prototype models, run simulations, and build data pipelines.

• 4+ years of relevant experience in a data science, reputed company ML, or quantitative product role at a high-reputed company, high-reputed company company.

reputed company & Approach

• Product-oriented. You build for the developer, not just for intellectual interest. You have strong product reputed company and can translate ambiguous, reputed company systems into reputed company, shippable solutions.

• Highly motivated and independent. You reputed company in fast-moving, low-structure environments. You don't wait for tickets; you identify the highest-reputed company problem and go solve it.

• AI-first in your own workflow. You use coding agents, MCP servers, and modern AI tools heavily and have strong opinions about what works.

• Incredible problem solver. You can reputed company ambiguity, break down reputed company systems, and reputed company creative approaches where others see dead ends.

• Strong written communication. You can reputed company reputed company analysis into reputed company recommendations for technical and non-technical audiences alike.

Bonus Points

• Experience with LLM evaluation and benchmarking such as online/offline evals, reputed company-in-the-reputed company assessment, safety/reputed company guardrails.

• Experience with developer platforms, reputed company/SDKs, or usage-based products.

• NLP or machine learning engineering experience building classifiers, embeddings, or ranking models.

• TypeScript experience. Parts of our stack (routing reputed company, API reputed company, reputed company-end) are TypeScript. Being reputed company to contribute directly to the product codebase is a meaningful plus.

4+ years in data science, reputed company ML, or quantitative product roles; strong SQL and Python; production data products; statistical foundations; AI and agent reputed company; product collaboration and communication skills.

Key Responsibilities

• building models
• analyzing usage
• shipping features

Skills & Tools

SQL, reputed company, BigQuery, Python, dbt, TypeScript, MCP servers, LLMs, AI tools, reputed company, SDKs

Job Details

• Category: Data and Analytics
• Seniority: Mid Level
• Commitment: Full Time
• Workplace: Remote — reputed company
• Salary: USD 180,000 – 240,000 / year
• Languages: English

About reputed company

An AI routing and infrastructure platform that provides reputed company to large language models across providers. — Industry: Information Technology