Leading Data Scientist

2 days ago


GulshaneIqbal Town, Pakistan beBeeData Full time $120,000 - $160,000
Job Overview

The Senior Data Scientist will create predictive and regression models on large datasets, leveraging both tree-based methods and deep learning techniques.

Key Responsibilities:
  • Data Modeling: Develop and train predictive and regression models using machine learning algorithms and deep learning techniques.
  • Data Integration: Build and maintain robust data integration pipelines in Python to handle large datasets.
  • Advanced Analytics: Apply advanced machine learning and artificial intelligence approaches to generate, clean, and validate proprietary datasets.
  • Model Evaluation: Conduct backtesting, validation, and performance evaluation of data-driven models.
  • Team Collaboration: Collaborate with cross-functional teams to translate research insights into practical solutions.
  • Model Refining: Continuously monitor and refine models to improve accuracy, scalability, and efficiency.
Requirements and Qualifications:
  • Experience: 6+ years of hands-on experience in Machine Learning, Data Science, or Quantitative Research.
  • Programming Skills: Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Statistical Knowledge: Solid understanding of statistical modeling, regression, and time-series analysis.
  • Deep Learning Expertise: Experience designing and deploying predictive and deep learning models.
  • Analytical Skills: Strong analytical and problem-solving skills, with the ability to work independently.
  • Communication Skills: Excellent verbal and written communication skills in English.
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Desirable Skills:
  • Quantitative Finance: Experience in quantitative finance, trading, or investment-related projects.
  • Familiarity with Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) and large-scale data infrastructure.
  • Financial Data APIs: Knowledge of financial data APIs, Bloomberg/Refinitiv, or alternative datasets.


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