Fraud & Identity ML Scientist, Digital Intelligence

Glocomms; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Glocomms is seeking a Data Scientist II in New York to build machine learning features and risk signals for real-time fraud detection. You will work with Engineering, Product, Analytics, and Risk to deploy models into production and contribute to explainability and dashboards.

The role emphasizes production-ready ML systems, scalable data pipelines, and collaboration with cross-functional teams to advance digital trust at scale.

Qualifications

• 5+ years in Data Science or related field.
• Strong Python with listed libraries.
• Advanced SQL with large datasets.
• Experience building ML models and pipelines.
• Understanding of supervised/unsupervised learning.
• Experience with distributed processing tools.

Responsibilities

• Build ML features, models, and risk-focused analytics.
• Analyze large-scale, noisy datasets for signals.
• Investigate fraud behaviors like spoofing and VPN usage.
• Design model validation strategies including drift and leakage checks.
• Collaborate with Engineering, Product, Analytics, and Risk to productionize.
• Document features, dashboards, and production-readiness reviews.
• Present findings to technical and non-technical stakeholders.

Skills

Python

Pandas

NumPy

Scikit-learn

XGBoost

TensorFlow

PyTorch

SQL

Data analysis

Spark

Databricks

Tools

Databricks

PySpark

Job description

Glocomms is seeking a Data Scientist II in New York to build machine learning features and risk signals for real-time fraud detection. You will work with Engineering, Product, Analytics, and Risk to deploy models into production and contribute to explainability and dashboards.

The role emphasizes production-ready ML systems, scalable data pipelines, and collaboration with cross-functional teams to advance digital trust at scale.