Staff Data Scientist: Fraud & Risk Innovator

Socure Inc.; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm in the United States is seeking a Staff Data Scientist to join their Fraud & Risk Data Science team. You will be responsible for designing advanced deep learning models to enhance fraud detection and risk management. Ideal candidates will have 8+ years of experience in data science, proficient in Python and SQL, and demonstrate excellent communication skills. The role emphasizes mentorship and collaboration, making it essential to align with leadership principles in a fast-paced environment.

Qualifications

• 8+ years of experience in data science or machine learning, ideally in tech or fintech.
• Hands-on experience developing deep learning models.
• Strong proficiency in Python, SQL, and key ML libraries.

Responsibilities

• Design and implement advanced deep learning models for fraud detection.
• Lead the machine learning lifecycle from data exploration to deployment.
• Mentor junior data scientists and collaborate with cross-functional teams.

Skills

Python

SQL

Machine Learning

Deep Learning

Data Science

Communication Skills

Model Deployment

Education

Master's or PhD in Computer Science, Statistics, Applied Mathematics, or Data Science

Tools

PyTorch

TensorFlow

scikit-learn

Job description

A leading technology firm in the United States is seeking a Staff Data Scientist to join their Fraud & Risk Data Science team. You will be responsible for designing advanced deep learning models to enhance fraud detection and risk management. Ideal candidates will have 8+ years of experience in data science, proficient in Python and SQL, and demonstrate excellent communication skills. The role emphasizes mentorship and collaboration, making it essential to align with leadership principles in a fast-paced environment.