Senior Data Analyst

1 day ago

Hyderabad City Taluka, Pakistan beBeeData Full time 1,500,000 - 2,500,000
Job Overview

We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our data science team, you will be responsible for designing and implementing predictive and regression models on large datasets using various techniques.

Key Responsibilities:
  • Predictive Modeling: Design and implement predictive models leveraging tree-based methods and deep learning techniques.
  • Data Integration: Build and maintain robust data integration pipelines in Python.
  • Advanced ML/AI: 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.
  • 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.
Qualifications and Requirements
  • 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.
Desirable Qualifications
  • 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.

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