Senior Data Scientist

Job Summary

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