Address Responsibilities:
1. Build advanced Data Science/Machine Learning models to create significant business impact.
2. Responsible for developing all aspects of data mining, predictive analytics, solution development.
3. In depth knowledge of Machine Learning algorithms for NLP, Forecasting, Prediction and Analytics.
4. Strong understanding in areas of traditional statistical analysis, Bayesian modelling, traditional ML, Deep Learning.
5. Build strong understanding of traditional statistical analysis, Bayesian modelling, traditional ML and optimization through self-study, project exposure and guidance of senior team members.
6. Maintain robust documentation including all steps of model objective, development, algorithm, validation, implementation, etc.
7. Rich experience in at least one production ready deployment of Machine Learning algorithms is a plus.
To help us level up, you will ideally have:
1. Degree in computer science, Mathematics, Statistics or Engineering from a premier institution
2. Minimum experience of 2-3 years in Data Science and analytics (preferably with a US consumer lending or Credit Card company)
3. Good Experience in working with Credit Bureau data, Feature Creation and Risk Modelling (at least 2 years)
4. Working proficiency in effective use of analytics software (R, Python, SQL) and technology tools, especially related to analytics, data and modelling is mandatory.
5. Engage with business and product teams on the problem formulation and create solution framework
6. Good understanding of statistics and probabilistic methods.
7. Fully comfortable working in a hybrid (virtual and face-to-face) environment.
