Data Scientist - II

Responsibilities: Develop data science solutions to solve complex business problems. Formulate business problems into data science problems. Work cross-functionally with business and engineering teams to drive data science initiatives. Define the right quality metrics for ML models and optimize them. Mentor and provide feedback to team members Requirements: Bachelor's in Computer/Electrical Engineering, Mathematics, Economics, or in a quantitative field with a research bent of mind, and have a minimum of 1+ years of experience. Sound understanding of modern Machine learning techniques, mathematical underpinnings, and experience in using different machine learning frameworks (sci-kit-learn, Keras, TF Spark, MLlib, etc). Experience in using distributed computing platforms. Strong programming skills (preferably in Python, Scala, etc). Experience in driving large-scale machine learning learning problems end-to-end.