Overview

We are seeking an experiencedSenior Data Scientist with a strong background in non–deep learning machine learning approaches and the ability to apply deep learning to raw, non-textual data. This role will focus on creating custom ML models tailored to the needs of customers, ensuring that the solutions are accurate, reliable, and production-ready.

You will be responsible for the end-to-end lifecycle of customer-focused data science projects—ranging from data analysis, model development, and evaluation to integration into production systems—while maintaining high standards of quality and performance.

Key Responsibilities

• Design, develop, and deploy machine learning models with a focus on non–deep learning approaches (e.g., tree-based methods, ensemble models, probabilistic models, clustering, anomaly detection).
• Apply deep learning techniques to raw, non-textual data where applicable.
• Conduct in-depth da...