Data Scientist ( Network Intelligence & Fraud Analytics

Seattle, WA, US • Posted 13 hours ago • Updated 1 hour ago

Full Time

On-site

$DOE

Fitment

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Data Scientist

Summary

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Scientist Network Intelligence & Fraud Analytics in Seattle, WA. Below is the detailed job description.

Title Data Scientist Network Intelligence & Fraud Analytics

Location Seattle, WA (Onsite/Hybrid)

Job Description:

We are hiring Data Scientists with strong telecom/network data expertise to build machine learning models for fraud detection using large-scale telecom signals.

Key Responsibilities

Develop ML models for fraud detection using telecom + financial datasets
Engineer features from CDRs, network events, device fingerprints, geolocation data
Build real-time and batch fraud scoring pipelines
Implement anomaly detection, graph analytics, and behavioral modeling techniques
Work with streaming platforms (Kafka) and large-scale data processing (Spark)
Collaborate with SMEs to incorporate domain-driven features and rules
Evaluate models using fraud-specific metrics (AUC, precision-recall, lift, cost savings)
Optimize models for low latency and high scalability in production environments

Required Qualifications

5 10+ years in Data Science / ML with strong telecom/network data experience
Expertise in Python, ML frameworks (scikit-learn, PyTorch, etc.)
Experience with big data tools (Spark, Hadoop) and streaming (Kafka)
Strong understanding of network data structures (CDR, signaling, device data)
Experience building fraud/anomaly detection models

Preferred

Experience with graph-based fraud detection (network/relationship analysis)
Exposure to real-time ML deployment (MLOps, APIs, Kubernetes)
Background in both telecom and financial datasets (highly desirable)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10481867
Position Id: 2026-17897
Posted 13 hours ago

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