Description

- Understand how to attack an data science problem and come with relevant approach(es) - Hands-on with Machine Learning Concepts and algorithms such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, Bagging and Boosting, Recommendation systems etc with a decent grasp over the math behind some of the techniques - Ability to mentor junior data scientists and critically evaluate the approaches discussed - Ability to articulately present recommendations with senior leadership - Be an active team member and execute complex analytical projects by leading and participating in tasks that use advanced statistical modeling and machine learning techniques - Ability to think of possible risks in the projects and action plan to mitigate the same - Build POCs for data projects to navigate decisions for product enhancements - Ability to think of computationally efficient and business effective analytical solutions - Establish machine learning techniques for path to automating manual workflows - Work closely with data engineers and product teams to solve real-world problems - Hands-on with common data processing techniques - Good power point presentation skills and excellent team player Primary Skills : - Common data science toolkits, such as Python or R (Mandatory), etc. - Working knowledge of a query language SQL/MySQL - Have successfully developed and deployed at least 3-4 Machine Learning/Data Science projects - Excellent team player and decent communication skills Qualifications : - 4 to 6 years of relevant work experience in Data science - B.Tech., M.Tech. or MCA degree from a reputed university

Role and Responsibilities

• - Understand how to attack an data science problem and come with relevant approach(es) - Hands-on with Machine Learning Concepts and algorithms such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, Bagging and Boosting, Recommendation systems etc with a decent grasp over the math behind some of the techniques - Ability to mentor junior data scientists and critically evaluate the approaches discussed - Ability to articulately present recommendations with senior leadership - Be an active team member and execute complex analytical projects by leading and participating in tasks that use advanced statistical modeling and machine learning techniques - Ability to think of possible risks in the projects and action plan to mitigate the same - Build POCs for data projects to navigate decisions for product enhancements - Ability to think of computationally efficient and business effective analytical solutions - Establish machine learning techniques for path to automating manual workflows - Work closely with data engineers and product teams to solve real-world problems - Hands-on with common data processing techniques - Good power point presentation skills and excellent team player Primary Skills : - Common data science toolkits, such as Python or R (Mandatory), etc. - Working knowledge of a query language SQL/MySQL - Have successfully developed and deployed at least 3-4 Machine Learning/Data Science projects - Excellent team player and decent communication skills Qualifications : - 4 to 6 years of relevant work experience in Data science - B.Tech., M.Tech. or MCA degree from a reputed university