Senior Data Scientist

Summary

Join a fast-growing company with a strong mission and vision that puts people first, as an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.

Requirements

• 5+ years experience in Data Science or ML Engineering
• A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field
• Proficiency in SQL and Python
• Ability to communicate clearly with both technical and non-technical audiences
• Excellent data analysis skills
• Experience developing and deploying machine learning models

Responsibilities

• Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems
• Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy
• Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development
• Code Development: You’ll write production-grade code to deliver robust machine learning solutions
• Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance
• Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events

Benefits

• Competitive salary based on experience, with full medical and dental benefits
• High potential for growth
• Stock in an early-stage startup
• Flexible WFH and vacation policy
• Paid parental Leave
• Employee referral program
• 401K plan