Position Details

Type Full-Time

Experience senior

Exp. Years 6+ years

Education Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related field

Category AI & Machine Learning

About this role

Senior Data Scientist focused on device intelligence and fraud prevention, leveraging ML across device, network, and behavioral data to power risk signals.

Key Responsibilities

Design and deploy ML systems for device identification
Build scalable data pipelines
Lead experiments and validation
Collaborate with engineering/product/risk
Mentor junior data scientists

Technical Overview

Production ML with Python, Spark/PySpark, and ML frameworks (scikit-learn, XGBoost, TensorFlow). Design and deploy scalable data pipelines and experimentation frameworks with A/B testing.

Ideal Candidate

The ideal candidate is a senior data scientist with 6+ years in applied ML for device intelligence and fraud prevention. They excel in Python/SQL, scalable ML pipelines, and production-grade experimentation, with strong communication for cross-functional impact.

Must-Have Skills

Master’s degree in Computer Science/ML/Statistics or related6+ years of data science experienceExcellent SQLPythonProduction ML experienceDistributed computing (Spark/PySpark)ML frameworks (scikit-learnXGBoostTensorFlow)Experience with streaming or near-real-time dataA/B testingMentoring junior data scientists

Nice-to-Have Skills

Fraud detection backgroundBehavioral biometricsAnomaly detectionAdversarial modelingPrivacy-preserving MLBrowser fingerprintingVPN/proxy detection

Tools & Platforms

PythonSparkPySparkAWSAzureTableauPower BISQL

Required Skills

SQLPythonSparkPySparkscikit-learnXGBoostTensorFlowA/B testingtelemetrybrowser datareal-time datadata pipelinesmachine learningdevice identificationfraud prevention

Hard Skills

SQLPythonSparkPySparkscikit-learnXGBoostTensorFlowA/B testingtelemetrybrowser datamobile datareal-time datadata pipelinesmachine learningdevice identificationfraud preventionproduction MLrisk signals

Soft Skills

CommunicationCollaborationMentoringProblem-solvingData storytellingCross-functional

Industry & Role

Industry Fintech

Job Function Develop device-based ML models and production ML workflows for fraud prevention

Role Subtype Senior data scientist

Tech Domains Python, SQL / PostgreSQL, Azure, Amazon Web Services, Tableau, Power BI

Keywords for Your Resume

Senior Data ScientistDigital Intelligencedevice identificationfraud preventionmachine learningPythonSQLSparkPySparkscikit-learnXGBoostTensorFlowA/B testingtelemetrybrowser datareal-time datadata pipelinesproduction MLprivacy-preserving

Deal Breakers

Sponsorship not available, Lack of 6+ years of data science experience, No production ML experience

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Senior Data Scientist - Digital / Device Intelligence

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