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Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or engineering degree in any stream is required
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Proficiency in statistical programming languages such as Python (including pandas, scikit-learn) and SQL is crucial
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Familiarity with machine learning algorithms, deep learning, natural language processin, and compute vision is added advantages
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You have to conduct data analyses to identify trends, patterns, and relationships within datasets using statistical techniques
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Support diagnostic analytics to understand root causes of deviations and propose data-driven solutions
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