Straive - Data Scientist - Machine Learning

Description :

: - Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity- Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).- Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.- Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.

Needed : - 3+ years of experience in Python coding, SQL, Machine Learning- Understanding of Deep Learning/Neural Networks (ANNs)- Hands on experience with XGBoost, Random Forest, GBMExperience in end-to-end ML model development : - Data Preparation- Feature Engineering- Model Training & Evaluation- Model DeploymentGood understanding of : - Imbalanced data handling- Model evaluation metrics- Model explainability- Exposure to LLMs/RAG concepts- Cloud exposure is

: AWS/GCP/Azure- Ops tools experience is

: Docker/Airflow/Spark/ML Ops- BFSI domain is

, not mandatory (ref: hirist.tech)