Data Scientist - Network Intelligence & Fraud AnalyticsHMG America LLC • United States
Data Scientist - Network Intelligence & Fraud Analytics
HMG America LLC
- United States
- United States
Über
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Title – Data Scientist – Network Intelligence & Fraud Analytics Location –
Seattle, WA (Onsite/Hybrid) Mode - Full Time Permanent (Level 4-5) 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)
xywuqvp 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)
Sprachkenntnisse
- English
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