Data scientist Jobs in Bensheim
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Data scientist • bensheim
Computer Vision Data Scientist, Receipt Fraud
TechBiz Global GmbHRimbach, HE, DECustomer Service Agent
Antech DiagnosticsAntech - ViernheimIT-Trainees – Big Data (m / w / d)
SVABensheimWorking student in Strategic Purchasing (f / m / d)
FreudenbergBensheim- Neu!
Verkäufer (m / w / d) in Teilzeit 18 Std. / Woche Heppenheim - In 3 Minuten erfolgreich bewerben - Arbeitserlaubnis erforderlich
NKD Deutschland GmbHHeppenheim (Bergstraße), DeutschlandSAP Conversion / Data Migration Senior Consultant (w / m / x)
NTTGraz, GermanyManager Business Development (m / f / d)
TE ConnectivityBENSHEIM, HE, DEIT Support (f / m / d)
IMTFBensheim, HE, DEAusbildung Fachmann / -frau für Systemgastronomie (m / w / d)
McDonald`s Deutschland LLCWormser Str., Bensheim, Deutschland- Gesponsert
Student (m / w / d) dual Wirtschaftsinformatik - Start 2026
Riese & Müller GmbHMühltal, Hessen, DEDriver in local traffic (m / w / d)
Gettrans GmbHGroß-Rohrheim, Hessen, GermanyTalent Acquisition Partner
MarsBergstraße, Hesse, Germany- Gesponsert
Praktikum im Bereich Logistik - Region Darmstadt - Gernsheim - Start 2026
AmazonGernsheim, Hessen, DEProjektleiter Leitungsprojekte (m / w / d)
AKKODISLampertheim, Hessen, GermanyLinguistic Application Engineer
University of ZurichAndreasstrasse 15, Zürich, Switzerland- Gesponsert
Entwickler für Behandlungseinheiten (m / w / d)
AkkodisBensheim, deBeliebte Suchanfragen
Computer Vision Data Scientist, Receipt Fraud
TechBiz Global GmbHRimbach, HE, DEAt 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