Location : Bangalore

Must have:
1. Coding using Python, including use of common packages such as Jupyter, NumPy, SciPy, Pandas, Matplotlib and Seaborn.
2. Solid mathematical knowledge, across topics such as algebra, calculus, trigonometry, and graph theory.
3. Machine learning theory and application, such as regression, classification, and cross-validation.
4. Parametric statistics, probability theory and principles of Bayesian inference.
5. Media mix modelling concepts, such as adstock and diminishing returns.
6. Basic time series modelling techniques, such as ARIMA.
7. Basic optimization concepts, such as Lagrangian multipliers, constrained vs. unconstrained optimization, local vs. global minima.