Senior Data Scientist - Fraud
Core
Lead data preparation, analytics, and development of deployable fraud detection solutions and GenAI/LLM-driven models for the credit data space.
Role type
Senior IC data scientist (fraud & GenAI)
Builds
Production fraud and credit risk models, GenAI/LLM solutions, and data governance tools
Domain
Financial services / Fraud detection / Machine Learning
Deliverable
production ML models
Required skills
Advanced machine learning algorithms, Python, SQL, big data technologies, classical ML, statistical modeling, NLP, time-series analysis, model validation, cloud environment deployment
Preferred skills
GenAI and LLM solutions, RAG systems, MLOps lifecycle, graph mining, identity graphs, financial services industry background
Technologies
scikit-learn, XGBoost, Tensorflow, PyTorch, Transformers, Pandas, NumPy, Spark, Dataflow, BigQuery, Snowflake, AWS, GCP
Responsibilities
Design and deploy advanced fraud and credit risk models; Develop and productionize GenAI and LLM-driven solutions; Act as a senior technical consultant to global teams; Serve as a technical leader and mentor for junior data scientists; Lead the analytical strategy on critical technical capabilities
Seniority
Senior, hands-on IC with mentorship responsibilities
