BluCognition- Analyst/Sr Analyst Data Science

March 20

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Description

• Build advanced Data Science/Machine Learning models to create significant business impact. • Responsible for developing all aspects of data mining, predictive analytics, solution development. • In depth knowledge of Machine Learning algorithms for NLP, Forecasting, Prediction and Analytics • Strong understanding in areas of traditional statistical analysis, Bayesian modeling, traditional ML, Deep Learning • Build strong understanding of traditional statistical analysis, Bayesian modeling, traditional ML and optimization through self-study, project exposure and guidance of senior team members. • Maintain robust documentation including all steps of model objective, development, algorithm, validation, implementation, etc. • Rich experience in at least one production ready deployment of Machine Learning algorithms is a plus.

Requirements

• Degree in computer science, Mathematics, Statistics or Engineering from a premier institution • Minimum experience of 2-3 years in data science and analytics (preferably with a US consumer lending or Credit Card company) • Good Experience in working with Credit Bureau data, Feature Creation and Risk Modeling (at least 2 years) • Working proficiency in effective use of analytics software (R, Python, SQL) and technology tools, especially related to analytics, data and modeling is mandatory. • Engage with business and product teams on the problem formulation and create solution framework • Good understanding of statistics and probabilistic methods. • Fully comfortable working in a hybrid (virtual and face-to-face) environment.

Benefits

• Joining an exciting journey with a fast-growing start-up • Opportunity to leverage the latest technology stack in AI, ML, and NLP • Working with senior professionals from the financial services industry • Significant business impact through building advanced Data Science/Machine Learning models