Staff Data Scientist

📋 Description Own and drive pricing algorithm improvements balancing margin, conversion, and UX. Analyze market and vehicle data to relate attributes to pricing outcomes. Build, validate, and deploy ML models into production; iterate on performance. Lead feature engineering, model evaluation, and experimentation design. Collaborate with Product, Engineering, Strategy & Ops to prioritize opportunities. Contribute to ML domains like lending, fraud detection, search optimization, personalization. 🎯 Requirements 8+ Years of Experience as a Data Scientist delivering measurable business impact. 0-to-1 Strategic Autonomy; own the roadmap in high-ambiguity environments. End-to-End Technical Ownership with Python proficiency from data to production. Production-Grade ML: build and deploy robust, scalable models. Foundational Rigor: strong statistics and disciplined validation. Excellent Communication: translate findings into business ROI.