Job 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

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