What are the responsibilities and job description for the Data Scientist - Fraud Analytics position at K Anand Corporation?
Role: Data Scientist - Fraud Analytics
Location: Austin, TX (100% Onsite)
Experience: 8-12 Years
Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions.
The ideal candidate will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques.
Required Skills
Primary Skills
- Fraud Analytics
- Machine Learning
- Graph Analytics
- Feature Engineering
- Dataiku
- Agentic AI Architecture
Secondary Skills
- Neo4j
- Python
- Model Explainability
- Statistics
- Experimentation Frameworks
Key Responsibilities
- Lead fraud use case discovery and scenario design.
- Define fraud detection strategies using business rules, Machine Learning, and graph techniques.
- Identify predictive variables and build fraud feature catalogues.
- Build and validate pilot fraud detection models.
- Optimize precision, recall, and fraud catch rates.
- Collaborate with engineering teams on low-latency scoring architectures.
- Drive model explainability, governance, and compliance initiatives.
- Support shadow runs and challenger model validation against existing systems.
Responsibilities Area
- Data Science & AI Strategy
- Solution Design & Model Development
- Fraud Analytics & Investigation Insights
- Technical Leadership
- Team Mentoring & Stakeholder Management
Regards,
Gaurav Tripathi
Sr Associate Talent Acquisition
KAnand Corporation
Email: