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Data Scientist ( Network Intelligence & Fraud Analytics
HMG America
Seattle, WA
HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web develo...
Pay not listed Apply Now
Data Scientist - Graduate
Nasdaq
Boston, KY
• *Data Scientist** At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come fi...
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Data Scientist II
Oscar Health
Tempe, AZ
Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stac...
$131k – $172k/year Apply Now
Mid-level Data Scientist - Model Development
USAA
Phoenix, AZ
Why Choose USAA? At USAA, we are dedicated to empowering our members to achieve financial security through outstanding products, exceptional ...
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Senior Data Scientist, Revenue and Business
Mozilla
Houston, TX
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pi...
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Software Engineer - Full Stack
Electronic Arts
Austin, TX
General Information Locations: Austin, Texas, United States of America • Location: Austin • State: Texas • Country: United States of America ...
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Software Engineer – Front-End
Giant Magellan Telescope Project (GMT)
Pasadena, CA
Background The Giant Magellan Telescope is one of the most powerful ground-based telescopes ever engineered. It is designed to push the bound...
$95k – $115k/year Apply Now
Graduate Ai Software Engineer - Remote, Growth & Equity
Bending Spoons
County Dublin, Ireland
An innovative tech company in Ireland is looking for driven individuals to build transformative AI-powered products. Candidates will work wi...
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Software Engineer in Test (SDET)
Insight Global
Dartmouth, NS
Required Skills & Experience -5+ years of experience in software testing, with strong focus on automation -Proven experience as an SDET or A...
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Software Engineer - Build & Tools
PlayStation Global
Waterloo, ON
Job Summary Join PlayStation as a Tools & Build Software Engineer to drive the future of CI/CD, designing and optimizing scalable pipelines f...
$117k – $166k/year Apply Now
Data Scientist ( Network Intelligence & Fraud Analytics

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...

Pay not listed Apply Now

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)
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