Staff Data Scientist, RiskOS & GenAI

Socure; New York (NY); On-site; USD 175,000 - 205,000; Full time

Job summary

Socure is seeking a Staff Data Scientist based in New York to spearhead risk analytics and fraud prevention using AI and machine learning. This role involves end-to-end development of data-driven solutions on the RiskOS platform, with a specific focus on building scalable data pipelines and collaborating across functions.

The ideal candidate will have a Master's or PhD in a quantitative field, 6+ years of relevant experience, and strong technical skills including Python and SQL. Expected compensation is between $175K - $205K.

Qualifications

• 6+ years of experience in data science or ML, with a focus on fraud prevention.
• Strong experience applying Generative AI in production contexts.
• Deep proficiency in Python and SQL with ML framework experience.

Responsibilities

• Develop advanced analytics on RiskOS data to understand user behavior.
• Build scalable data pipelines and ML workflows with data engineering.
• Lead experimentation frameworks to optimize user journeys across RiskOS.

Skills

Data Science

Machine Learning

Generative AI

Fraud Prevention

Risk Analytics

Collaboration

Python

SQL

Education

Master’s or PhD in relevant field

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Databricks

BigQuery

Job description

Socure is seeking a Staff Data Scientist based in New York to spearhead risk analytics and fraud prevention using AI and machine learning. This role involves end-to-end development of data-driven solutions on the RiskOS platform, with a specific focus on building scalable data pipelines and collaborating across functions.

The ideal candidate will have a Master's or PhD in a quantitative field, 6+ years of relevant experience, and strong technical skills including Python and SQL. Expected compensation is between $175K - $205K.