Data Scientist

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Requirements:

• Proficiency in Python and C#.
• Experience with threading, multithreading, and GPU processing.
• Knowledge of unit testing frameworks and methodologies.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL is a plus.
• Strong analytical and problem-solving abilities.
• Ability to diagnose code issues through visualizations.
• Knowledge of prompt engineering and eagerness to implement AI into workflows.

Responsibilities:

• Collaborate to develop methods for detecting and flagging anomalies in algorithms.
• Debug and optimize backend engine algorithms in Python and C#.
• Enhance algorithm performance for large-scale datasets using advanced techniques.
• Implement machine learning models for improved statistical modeling.
• Apply prompt engineering techniques to streamline workflows.
• Use project management tools to manage tasks and team communications.