Senior Data Scientist

📋 Description

• Build, evaluate, and deploy ML models for risk scoring, threat intelligence, and vendor risk
• Explore data to identify patterns, trends, and anomalies in large datasets.
• Evaluate model accuracy, robustness, and scalability.
• Collaborate with product managers/engineers to define DS requirements and productionize models.
• Contribute to code reviews and DS best practices.
• Stay current with new research and technologies.

🎯 Requirements

• Advanced degree in a quantitative field or equivalent exp applying DS to complex problems.
• 5+ years of experience applying data science and ML to real-world challenges.
• Proficient in Python and ML frameworks (scikit-learn, XGBoost, MLFlow, PyTorch).
• Experience with cloud-based data pipelines (AWS, GCP, or similar).
• Solid understanding of ML algorithms, metrics, and deployment.
• Effective communicator and team player with problem-solving passion.

🎁 Benefits

• Specific benefits vary by country; competitive salary, stock options, health benefits, unlimited