We are seeking for an experienced Senior Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.
Responsibilities
- Build and Deploy ML Models: You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
- 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.
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.
- Experience, but not required, in working in financial systems, including lending or risk/fraud.
Benefits
- Work Location: Remote
- 5 days working
Desired Skills and Experience
Machine Learning, Statistical Analysis, Data Visualization, Big Data, Python Programming, Deep Learning, Natural Language Processing, Predictive Modeling
