Senior Data Scientist

Driving technical execution and innovation, the full-time Senior Data Scientist will build scalable data products and machine learning models while collaborating with cross-functional teams in a remote environment. Key Responsibilities Own the complete model lifecycle, from data extraction and feature engineering to deployment and performance monitoring Collaborate with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into actionable business insights Write clean, modular, and production-ready code while participating in peer code reviews and contributing to technical best practices Required Qualifications 5+ years of applied experience in Data Science or ML Engineering with a proven track record of delivering production-ready models Strong expertise in Python and SQL, along with familiarity with the Python data stack and standard ML frameworks Experience working in cloud-based environments (AWS or GCP) and knowledge of CI/CD workflows and ML Ops principles Education: BS, MS, or equivalent experience in a quantitative field such as Data Science, Statistics, or Applied Math Ability to connect technical metrics to business outcomes and effectively communicate technical concepts to non-technical stakeholders