Job Description:
We are looking for strong Data Scientists/Analysts, who will be problem solvers, using predictive modelling techniques and machine learning algorithms, to solve complex business problems in credit and risk domains, marketing analytics and provide business strategies.
Roles and Responsibilities:
- Use of cutting edge machine learning techniques for solving supervised and unsupervised learning problems.
- Design analytical solutions for complex business problems.
- Dig deep into data, understand characteristics, evaluate and validate hypotheses through empirical approaches.
- Develop and implement predictive models for solving business problems and recommend actionable insights.
Experience:
- 0-2 years of experience in the field of analytics, predictive modeling or data science. (Freshers are welcome to apply.)
- Strong with programming languages like Python and data processing using SQL or equivalent
- Strong with analytical and statistical packages like R, Python Scikit-Learn
- Additional familiarity with C/C++ welcome.
- For experienced candidates, Experience with the following machine learning algorithms desirable: Gradient Boosting, Decision Trees, Logistic Regression, Random Forests, Deep Neural Networks, Ensemble methods.
- Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable.
- B. Tech/M. Tech in Computer Science or other Engineering (or Masters in Quantitative) Disciplines from a premier institution.
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