Staff Data Scientist - RiskOS
The Ladders
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 180KJob location
Remote
Tech stack
Artificial Intelligence
Information Engineering
ETL
Distributed Systems
Fraud Prevention and Detection
Python
Machine Learning
TensorFlow
SQL Databases
PyTorch
Generative AI
Machine Learning Operations
Data Pipelines
Job description
- Develop advanced analytics for RiskOS data to identify user behavior and fraud patterns
- Build scalable data pipelines and ML workflows in partnership with data engineering
- Design and execute experimentation frameworks to enhance RiskOS functionalities
- Create Generative AI solutions for analytics automation and case reviews
- Establish evaluation frameworks for AI solutions, focusing on safety and impact
- Collaborate with engineering to build essential data science infrastructure
- Own the deployment of production-grade solutions with metrics for performance
Requirements
- Master's or PhD in a relevant quantitative field or equivalent experience
- 6+ years in data science, ML, or data engineering with a focus on fraud prevention
- Strong hands-on experience with Generative AI in production settings
- Proficiency in Python and SQL; familiarity with ML frameworks like TensorFlow and PyTorch
- Experience deploying scalable data pipelines and ML models in production environments
- Solid understanding of data engineering principles including ETL and distributed computing
- Ability to collaborate effectively in cross-functional teams, * Opportunities for professional development and learning
- Collaborative work environment with a focus on responsibility
- Possibility to influence the direction of identity verification solutions
- Engagement in a mission-driven company addressing complex identity challenges