Senior Data Scientist

Key Responsibilities:

• Design and implement predictive and regression models on large datasets, leveraging both tree-based methods and deep learning techniques.

• Build and maintain robust data integration pipelines in Python.

• Apply advanced ML/AI approaches to generate, clean, and validate proprietary datasets.

• Conduct backtesting, validation, and performance evaluation of data-driven models.

• Collaborate with cross-functional teams to translate research insights into practical solutions.

• Continuously monitor and refine models to improve accuracy, scalability, and efficiency.

Qualifications and Experience:

• 6+ years of hands-on experience in Machine Learning, Data Science, or Quantitative Research.

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

• Solid understanding of statistical modeling, regression, and time-series analysis.

• Experience designing and deploying predictive and deep learning models.

• Strong analytical and problem-solving skills, with the ability to work independently.

• Excellent verbal and written communication skills in English.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Good to Have:

• Experience in quantitative finance, trading, or investment-related projects.

• Familiarity with systematic strategies, risk modeling, or portfolio optimization.

• Exposure to cloud platforms (AWS, GCP, Azure) and large-scale data infrastructure.

• Knowledge of financial data APIs, Bloomberg/Refinitiv, or alternative datasets.