Responsibilities & Requirements
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1
Master degree in computer science, statistics, applied mathematics, mechanical engineering, electrical engineering, or related field.
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2
Design and implement statistical, machine learning, and computational models for analyzing large-scale structured and unstructured datasets from financial and biomedical domains.
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3
Develop robust data science methodologies and computational inference techniques to estimate latent states of complex systems through the integration of heterogeneous datasets, domain-specific knowledge, and statistical signal processing techniques.
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4
Develop software tools and data-processing pipelines in Python/C++ and related technologies for quantitative research, predictive analytics, and computational modeling applications.
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5
Develop model evaluation metrics and monitoring techniques to assess the performance of existing models.
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6
Document data analysis methodologies, modeling workflows, and experimental results to support ongoing research and software platform development.