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Senior Data Scientist

Veriff - Tallinn, Spain (Remote)

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Senior Data Scientist Tallinn, Spain (Remote) Beneath a simple yet elegant user interface lies a complex system of functionalities. Our AI-powered product uses advanced image recognition, document detection, data extraction, fraud detection, and behavior analysis to make identity decisions. We help our partners build onboarding processes that ensure good people get things done and bad folks get stopped. In order to take our product to the next level, we need world-class data scientists to automate processes historically reserved for humans, and do so at superhuman performance levels. We are making significant investments to create a top-notch machine learning platform for prototyping, training, deploying, and monitoring machine learning models at a massive scale. Together with our world-class data annotation, data curation and MLOps teams, we fuel the AI-powered engine behind our success. As a Senior Data Scientist for the Physical Identities team , your primary responsibility will be to design, build, deploy and monitor machine learning models and solutions specifically tailored for our identity verification products. In this role, you will collaborate closely with Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers and other data professionals to develop state-of-the-art document detection and classification, data extraction and fraud detection algorithms. You will drive projects like, document detection and classification, OCR extraction and validation, supervised/unsupervised detection of anomalies in physical documents or document fraud risk scoring systems and leverage our large knowledge base and production data volumes to take these initiatives from initial prototype through full production deployment. You'll help us protect

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