Proficiency using R / Python for predictive modelling, pattern recognition, and algorithm prototyping. Should have exposure to appropriate tools in a Linux environment Can apply probability models and machine learning approaches to solving complex problems Adept at data manipulation, transformation, and decomposition Identify key variables, parameters and elements defining a problem or its solution.
Can distill highly technical knowledge and techniques to collaborators outside the problem domain. Java and / or Scala programming is a plus Should be comfortable understanding business domain problems and formulating appropriate algorithms Should be able to explain complex problems and solutions to business stakeholders and non-
data science engineers Skills : - Machine Learning (ML), Python, R Programming, Data Structures and Algorithms