Staff Data Scientist - Fraud & Risk ML Leader

Socure; Miami (NM); On-site; USD 180,000 - 210,000; Full time

Job summary

Socure is seeking a Staff Data Scientist to drive the development of advanced deep learning models for fraud detection within its Fraud & Risk Data Science team. The role will emphasize design, implementation, and optimization of complex machine learning solutions, requiring a deep commitment to accountability and continuous learning.

The ideal candidate should possess a Master’s or PhD in a relevant field and have 8+ years of experience in data science or machine learning, particularly in fintech. The position offers a competitive compensation range of $180K - $210K.

Qualifications

• 8+ years of experience in data science, machine learning, or related fields.
• Experience in fraud prevention, risk modeling, or identity verification.
• Strong proficiency in Python, SQL, and major ML libraries/frameworks.

Responsibilities

• Design, develop, and implement advanced deep learning models.
• Lead the end-to-end machine learning lifecycle.
• Collaborate cross-functionally with Product, Engineering, and Risk teams.

Skills

Deep learning models

Python

Machine learning

SQL

Data exploration

Model deployment

Mentoring

Education

Master's or PhD in relevant field

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Socure is seeking a Staff Data Scientist to drive the development of advanced deep learning models for fraud detection within its Fraud & Risk Data Science team. The role will emphasize design, implementation, and optimization of complex machine learning solutions, requiring a deep commitment to accountability and continuous learning.

The ideal candidate should possess a Master’s or PhD in a relevant field and have 8+ years of experience in data science or machine learning, particularly in fintech. The position offers a competitive compensation range of $180K - $210K.