Junior Fraud Data Scientist

Junior Fraud Data Scientist to protect ecosystem from financial threats and abuse.

• •As a Junior Fraud Data Scientist, you will contribute to our ongoing efforts to protect our ecosystem from financial threats and abuse.
• •Working under the guidance of senior team members in a data-rich environment, you will assist in identifying malicious behaviors, support detection coverage, and help maintain our automated mitigation strategies.
• •Key Responsibilities Support the team by mining behavioral and transactional datasets to help identify anomalies and emerging fraud patterns.
• •Assist in building, tuning, and validating machine learning models (e.g., XGBoost, LightGBM) under the supervision of senior data scientists.
• •Extract, engineer, and prepare new data features from structured and unstructured sources to help improve model performance.
• •Build and maintain internal dashboards and pipelines to track model health, data drift, and key fraud KPIs.
• •Work alongside Fraud Analytics and Product teams to help translate operational fraud insights into automated data solutions.
• •Requirements 1–2 years of hands-on professional experience as a Data Scientist or Data Analyst in a data-intensive environment.
• •Solid proficiency in Python (Pandas, NumPy, Scikit-Learn) and strong capability writing and optimizing SQL queries.
• •Exposure to or basic hands-on experience working within environments like Databricks and data warehouses like BigQuery.