Data Scientist II - Fraud & Identity Intelligence

Socure; Miami (NM); On-site; USD 140,000 - 170,000; Full time

Job summary

Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.

We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine learning features, analytical methods, and production-oriented risk signals using device, network, browser, mobile, API, session, and

Qualifications

• Bachelor’s, Master’s, or PhD in CS, ML, Statistics, Mathematics, Data Science, or related field.
• 5+ years in data science, applied ML, or analytics engineering.
• Experience building and evaluating ML models, features, and risk signals.
• Strong SQL and Python skills with libraries like pandas, scikit-learn, XGBoost, and PyTorch.
• Experience with distributed processing tools such as Spark or Databricks.
• Ability to work with noisy data, imperfect labels, and changing data distributions.
• Excellent communication for explaining methods and business impact.

Responsibilities

• Develop ML features, models, and analytical methods for device, network, browser, mobile, session, and behavioral telemetry.
• Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis.
• Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry.
• Analyze signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, and device or session fragmentation.
• Design and execute validation analyses, including train/test splits, holdout checks, leakage review, drift assessment, customer impact analysis, and feature stability review.
• Use supervised, unsupervised, statistical, and heuristic approaches to identify durable fraud and identity risk signals.
• Investigate imperfect labels, delayed outcomes, instrumentation gaps, and changing fraud patterns to distinguish useful signal from data artifacts.
• Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout.
• Contribute to model documentation, feature definitions, explainability materials, dashboards, and production‑readiness reviews.
• Communicate methods, assumptions, findings, limitations, and recommendations clearly to technical and cross‑functional stakeholders.
• Support junior data scientists and analysts through code review, analytical feedback, and sharing effective modeling and validation practices.

Skills

Data Science

Machine Learning

SQL

Python

Feature Engineering

Fraud detection

Distributed systems

Telemetry analysis

Education

Bachelor’s/Master’s/PhD in CS/Math/Data Science

Tools

Spark

PySpark

Databricks

TensorFlow

PyTorch

XGBoost

scikit-learn

Job description

Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.

We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine learning features, analytical methods, and production-oriented risk signals using device, network, browser, mobile, API, session, and