Senior Data Scientist - Digital Intelligence, Device Signals

📋 Description

• Design and deploy ML systems for device identification, anomaly detection, and fraud prevention.
• Develop scalable data pipelines and production ML workflows using telemetry.
• Investigate high-complexity signals to detect fraud and abuse.
• Translate business problems into modeling using supervised and unsupervised methods.
• Collaborate with engineering, product, and risk on data architecture and signal collection.
• Drive experimental design, AB testing, and validation for model generalizability.

🎯 Requirements

• Master’s degree or equivalent in Computer Science, ML, Statistics, or related quantitative field.
• 6+ years of experience in data science or applied ML in production environments.
• Excellent SQL skills and experience with large-scale databases and data modeling.
• Proficiency in Python and distributed computing tools (e.g., Spark, PySpark).
• Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow.
• Strong communication skills to explain complex results to non-technical stakeholders.

🎁 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.