
Data Scientist (Onsite, Lahore, PKR Salary)
Lahore, Pakistan
Requirements:
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Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
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4+ years of hands-on experience in Machine Learning, Data Science, or Quantitative Research.
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Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
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Solid understanding of statistical modeling, regression, and time-series analysis.
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Experience designing and deploying predictive and deep learning models.
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Strong analytical and problem-solving skills, with the ability to work independently.
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Excellent verbal and written communication skills in English.
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Experience in quantitative finance, trading, or investment-related projects.
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Familiarity with systematic strategies, risk modeling, or portfolio optimization.
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Exposure to cloud platforms (AWS, GCP, Azure) and large-scale data infrastructure.
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Knowledge of financial data APIs, Bloomberg/Refinitiv, or alternative datasets.
Responsibilities:
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Design and implement predictive and regression models on large datasets, leveraging both tree-based methods and deep learning techniques.
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Build and maintain robust data integration pipelines in Python.
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Apply advanced ML/AI approaches to generate, clean, and validate proprietary datasets.
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Conduct backtesting, validation, and performance evaluation of data-driven models.
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Collaborate with cross-functional teams to translate research insights into practical solutions.
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Continuously monitor and refine models to improve accuracy, scalability, and efficiency.
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