Fraud & Digital Identity Scientist II

Apply; New York, San Francisco, Seattle, Washington (NY, CA, WA, District of Columbia); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.

We are seeking a Data Scientist II to join our Digital Intelligence team in New York. You will develop machine learning features, analytical methods, and production-oriented risk signals across device, network, browser, mobile, and telemetry streams to improve fraud detection and customer outcomes.

Qualifications

• 5+ years of experience in data science, applied machine learning, or related technical role.
• Experience building, evaluating, and improving machine learning models, features, analytical pipelines, or risk signals.
• Strong SQL skills and experience working with large-scale, complex datasets.
• Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with distributed data processing tools such as Spark, PySpark, Databricks, or equivalent.

Responsibilities

• Develop machine learning features, models, and analytical methods for device, network, browser, mobile, session, and behavioral intelligence.
• Work on scoped fraud and identity risk problems with data quality, telemetry coverage, and product tradeoffs.
• Build features from large-scale, high-cardinality, sparse, noisy telemetry.
• Analyze signal patterns like spoofing, emulator behavior, automation, proxy/VPN usage, and telemetry gaps.
• Design and execute validation analyses including train/test splits, leakage review, and drift assessment.
• Use supervised, unsupervised, statistical, and heuristic methods to identify durable risk signals.
• Investigate imperfect labels, delayed outcomes, instrumentation gaps, and changing fraud patterns.
• Partner with engineers, product, risk, and platform teams to clarify requirements and support production rollout.
• Contribute to model documentation, feature definitions, explainability materials, dashboards, and production-readiness reviews.
• Communicate methods, assumptions, findings, and recommendations to technical and cross-functional stakeholders.
• Mentor junior data scientists and analysts through code review and feedback.

Skills

SQL

Python

Machine Learning

Data pipelines

Feature Engineering

Spark / PySpark

Databricks

Model Evaluation

Communication

Education

Bachelor's/Master/PhD in CS/ML/Statistics or related

Tools

TensorFlow / PyTorch

XGBoost

scikit-learn

Pandas

NumPy

Spark

Databricks

Job description

Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.

We are seeking a Data Scientist II to join our Digital Intelligence team in New York. You will develop machine learning features, analytical methods, and production-oriented risk signals across device, network, browser, mobile, and telemetry streams to improve fraud detection and customer outcomes.