Senior Data Scientist - Digital / Device Intelligence

📋 Description

• Design and deploy ML systems for device ID, anomaly detection, and fraud prevention.
• Develop scalable data pipelines and production ML workflows using telemetry data.
• Investigate high-complexity signals to detect fraud and abuse.
• Translate business problems into modeling approaches using supervised/unsupervised methods.
• Partner with engineering, product, and risk teams for data architecture decisions.
• Drive experimental design, A/B testing, and validation for model generalizability.

🎯 Requirements

• Master’s degree (or equivalent) in CS/ML/Statistics.
• 6+ years in data science or applied ML, including production.
• Excellent SQL skills and large-scale databases.
• Deploy/maintain ML models in live systems (streaming).
• Python proficiency and distributed computing (Spark, PySpark).
• ML frameworks: scikit-learn, XGBoost, TensorFlow.

🎁 Benefits

• Hands-on experience with real-world data science challenges in a high-impact industry.
• A collaborative and inclusive work environment that fosters learning and growth.
• Opportunities to grow into staff-level or technical leadership roles over time.