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Junior Fraud Data Scientist
·Israel
On-siteFull-timeData ScienceFinTechPayments
Join a global fintech payments company as a Junior Fraud Data Scientist. You will analyze transactional data, build machine learning models, and help protect the platform from fraud. This role offers mentorship and growth in a data-rich environment.
Responsibilities
- Mine behavioral and transactional datasets to identify anomalies and emerging fraud patterns.
- Assist in building, tuning, and validating machine learning models such as XGBoost and LightGBM.
- Extract, engineer, and prepare new data features from structured and unstructured sources.
- Build and maintain dashboards and pipelines to track model health, data drift, and fraud KPIs.
- Collaborate with Fraud Analytics and Product teams to translate operational insights into automated solutions.
Requirements
- 1–2 years of professional experience as a Data Scientist or Data Analyst in a data-intensive environment.
- Proficiency in Python (Pandas, NumPy, Scikit-Learn) and strong SQL query writing and optimization skills.
- Exposure to or basic hands-on experience with Databricks and data warehouses like BigQuery.
- Degree in a quantitative field such as Computer Science, Statistics, Data Science, or Industrial Engineering.
- Understanding of operational impact beyond model metrics like precision and recall.
- Fluent English with the ability to communicate technical findings clearly.
Nice to have
- Prior exposure to machine learning models in a live production environment.
- Familiarity with MLOps or orchestration tools such as MLflow or Airflow.
- Previous domain experience in fintech, e-commerce, payments, or trust & safety.