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techniques in data science and fintech industry to continuously innovate.\nDevelop and implement machine learning models, algorithms, and statistical methods to solve complex trading problems.\nCommunicate findings and insights to both technical and non-technical stakeholders through visualizations, presentations, and written reports.\nMaintain and optimize data pipelines, ensuring data quality and integrity.\nAnalyze large datasets to identify patterns, trends, and insights that can be used to make trading decisions.\n\nExperience needed\n\nMust have the following:\n\nProficiency in programming languages such as Python.\nExcellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.\nMinimum of 2-3 years of experience in a data science role, preferably in the fintech industry.\nStrong experience with data science libraries and tools such as TensorFlow, scikit-learn, Pandas, or similar.\nBachelor's or Master's Degree in Computer Science, 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