Senior Data Scientist

Responsibilities:

• Design and implement ML models for behavior prediction, anomaly detection, and risk scoring.
• Develop and fine-tune transformer-based models.
• Optimize models for production deployment—balancing accuracy, latency, and resource efficiency.

Qualifications:

• Deep hands-on expertise in Python, SQL, and ML framework (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Strong fundamentals in statistics, causal inference, and experimental design.
• Experience with transformer architectures.

Benefits:

• Collaboration with a forward-thinking team.
• Competitive salary.
• Flexible paid time off.