Data Scientist

Key Responsibilities:

• Build models and data products that make it to production, from generative models to subscriber-behavior predictions.
• Dig into large, messy datasets to find trends and patterns that become shipped features, and add to the core Python data science library.
• Build LLM-powered pipelines and agents, with evals as a core deliverable to validate model responses.

Required Qualifications:

• 2+ years of experience building ML models and data products in Python, with engineering skills to take them to production.
• Expert in Python with strong OOP, system design, and production-grade code. Hands-on with deep learning frameworks (PyTorch or TensorFlow).
• Experience with large-scale data processing (Spark, PySpark, Dask) and strong SQL skills. Solid cloud experience (GCP preferred).

What We Value:

• Daily use of agentic coding tools like Claude Code, Cursor, or Codex CLI, with a plan-first, test-first approach.
• Experience building and shipping LLM-powered agents using orchestration frameworks (LangGraph, Pydantic AI, etc.) and treating evals as core deliverables.
• Strong communication skills, advanced English (C1), and ability to explain complex technical decisions to cross-functional stakeholders.