Data Scientist

📋 Description Build models and data products for production: Subscriber Views and Metrics. Solve modeling problems to unlock new capabilities: attribution, sports data, generative models. Explore large datasets to identify trends and ship features; optimize Python code. Build LLM-powered pipelines and agents with validated evals and pass/fail checks. Use agentic coding tools daily: plan, test, review, and deliver well-documented code. Collaborate with cross-functional stakeholders and clearly explain technical decisions. 🎯 Requirements 2+ years building ML models and data products in Python, from prototype to production. Expert Python with strong OOP and production-grade software design. Solid ML concepts; model building, usage, and evaluation. Strong SQL skills with large, complex datasets. Git experience; comfortable in cloud (GCP) with BigQuery for data processing. Excellent problem-solving; debugging distributed systems; performance-focused. 🎁 Benefits Work from anywhere during US business hours. Competitive compensation including equity. Mentorship from experienced executives. Opportunity to grow and impact a rapidly growing startup. Travel to in-person team off-sites (visa-permitting).