About the Role
The role involves developing scalable data models, analyzing large datasets, and collaborating with engineering and product teams to improve identity verification systems.
Responsibilities
- Design and implement machine learning algorithms to detect fraudulent activity
- Analyze structured and unstructured data to identify patterns and anomalies
- Collaborate with engineers to integrate models into production systems
- Evaluate model performance using statistical methods and real-world metrics
- Work with large-scale data pipelines and cloud infrastructure
- Translate business requirements into technical solutions
- Document model development processes and assumptions
- Participate in code reviews and technical discussions
- Monitor deployed models for performance degradation
- Improve data quality and feature engineering pipelines
- Support A/B testing frameworks for model validation
- Communicate findings to non-technical stakeholders
- Stay current with advancements in machine learning and fraud detection
- Contribute to data governance and model compliance practices
- Assist in defining data collection strategies
- Optimize models for speed and accuracy
- Work cross-functionally with product and operations teams
- Help maintain data infrastructure reliability
- Troubleshoot data discrepancies and pipeline failures
- Support the development of internal analytics tools
Nice to Have
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with natural language processing techniques
- Background in cybersecurity or risk analysis
- Prior internship or project work in data science
- Experience deploying models in production environments
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative environment focused on data-driven decision-making and machine learning applications
Our Mission
We focus on building technology that prevents fraud and enables trustworthy digital interactions by accurately verifying identities.
What We Value
We prioritize technical excellence, ownership, and collaboration. We believe in solving hard problems with simple, scalable solutions.
Available for qualified candidates
