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Data Science & Machine Learning
Turning data into models and decisions the business can act on.
Overview
Data scientists and ML engineers explore data, build and validate models, and turn statistical findings into something a product or business team can actually use — from a churn-prediction model to an A/B test readout. It rewards a mix of statistical rigor, coding fluency (usually Python/SQL), and the ability to explain a model's limitations honestly rather than overselling it.
Key skills required
Python for Data & MLSQL for Data AnalysisStatistics & ExperimentationMachine Learning FundamentalsData Visualization
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