· Proven experience as a Data Scientist (Must have a min of 7 years +), with a strong track record of delivering impactful data-driven solutions.
· Proficiency in Python and SQL, with experience in data manipulation and analysis libraries (e.g., Pandas, Polars, NumPy, SciPy).
· Proficiency in machine learning frameworks and libraries (e.g. PyTorch, scikit-learn) and data visualization tools (e.g., matplotlib, seaborn).
· Strong knowledge of machine learning algorithms (regression, SVM, gradient boosting, LSTNs, Transformers, etc) and experience working with time series datasets.
· Familiarity with cloud platforms (AWS, Azure).
