Senior Fraud Data Scientist

Jobtailor; Town of Florida (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor seeks an experienced data scientist to lead fraud model development and feature engineering. You will build predictive models, manage model lifecycle, and collaborate with technology, analytics, and business partners to detect and prevent fraud across the lifecycle.

Ideal candidates have 3+ years in data science, strong Python/R/SQL skills, and expertise in ETL, data pipelines, and real-time streaming. Join a dynamic team focused on rigorous data quality and regulatory practices.

Qualifications

• Bachelor’s degree in statistics, mathematics, physics, economics, or a quantitative field.
• 3+ years in data science, ML, or advanced analytics.
• Proficiency in Python, R, or SQL.
• Experience with Pandas, Numpy, PySpark.

Responsibilities

• Lead data and feature engineering for fraud model development.
• Build predictive models and ML/AI algorithms on structured and unstructured data.
• Own and manage fraud models, risk appetite execution, and defect analysis.
• Deploy ML models for real-time fraud detection and monitoring.
• Design data pipelines, ETL processes, and real-time streaming.
• Explain complex findings to tech, analytics, and business teams.
• Monitor model performance and conduct validation/testing.

Skills

Python

R

SQL

Pandas

Numpy

PySpark

ML Algorithms

Feature Engineering

ETL

Data Streaming

Education

Bachelor’s degree

Tools

None

Job description

Jobtailor seeks an experienced data scientist to lead fraud model development and feature engineering. You will build predictive models, manage model lifecycle, and collaborate with technology, analytics, and business partners to detect and prevent fraud across the lifecycle.

Ideal candidates have 3+ years in data science, strong Python/R/SQL skills, and expertise in ETL, data pipelines, and real-time streaming. Join a dynamic team focused on rigorous data quality and regulatory practices.