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Zuletzt aktualisiert: vor über 30 Tagen
Computer Vision Data Scientist, Receipt Fraud

Computer Vision Data Scientist, Receipt Fraud

TechBiz Global GmbHViechtach, BY, DE
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.Computer Vision Data Scientist specialist. If you're looking for an exciting opportunity to grow in a in...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
MEP Lead - Munich

MEP Lead - Munich

John Sisk and SonBavaria (Bayern), Germany
Reporting to the Regional Director / Regional MEP Lead, the MEP Lead has responsibility for the delivery of MEP systems across designated large and or multiple smaller scale projects that area on tim...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
Field Service Engineer

Field Service Engineer

microTECH Global LtdBayern, Germany
Job Title : Field Service Engineer - onsite.Location : Austria, Unterfederaun.Salary Range : Up to €65, + Company Car or Car Allowance, Award-winning training. Languages : MUST speak German & English.My...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
Schülerpraktikum (m / w / d) Teisnach Osterferien 2026

Schülerpraktikum (m / w / d) Teisnach Osterferien 2026

Rohde & SchwarzTeisnach, Germany
Make ideas real - with the perfect job.Right now we have several job openings for you.Material Management and Logistics 5. Sales and Product Management 68.Students writing thesis (Bachelor / Masters...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Computer Vision Data Scientist, Receipt Fraud

Computer Vision Data Scientist, Receipt Fraud

TechBiz Global GmbHViechtach, BY, DE
Vor 30+ Tagen
Stellenbeschreibung

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Computer Vision Data Scientist specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Job Description :

1. Analyze large-scale receipt data for fraud patterns and anomalies.

2. Develop statistical methods to detect subtle inconsistencies in receipt data.

3. Design feature engineering strategies combining OCR, visual embeddings, and

behavioral signals.

4. Build and optimize ML models for fraud detection using collected data points.

5. Develop fraud scoring algorithms that combine multiple detection signals and model

outputs.

6. Implement threshold optimization strategies balancing precision and recall for different

risk levels.

7. Design comprehensive fraud scoring systems.

8. Develop weighted scoring mechanisms adaptive to fraud types and retailer patterns.

9. Create interpretable scoring frameworks for manual review teams.

4+ years as a data scientist with experience in fraud detection.

Strong expertise in hypothesis testing, time series, and anomaly detection.

Hands-on experience with classification, ensemble methods, and deep learning (scikit-learn, XGBoost, PyTorch / TensorFlow).

Computer Vision - Strong experience with image processing and embedding, specifically EfficientNet and FAISS, is a plus.

Experience with high-volume transaction processing and real-time decision systems.

Knowledge of retail / e-commerce fraud patterns preferred.

Familiarity with document fraud techniques and anti-fraud methodologies.

Part-time commitment with flexible hours

Why us?

  • Cutting-edge tech stack including GenAI and ML
  • A global team with diverse perspectives
  • Flexible remote work
  • Opportunity to influence product direction and company growth