Experience: Minimum 7 years experience in data modelling, data mining and application of statistics in solving business problems
Education: UG - Economics, Maths, Statistics, B.Tech/B.E, OR PG - Economics, Maths, Statistics, OR ( Doctorate - Econometrics, etc.)
Strong exposure into Modelling is must
Expertise in SAS or R is Must
This is a modelling/quantitative sciences role that will work as part of a team providing modelling and quantitative technique based solutions to business issues.
To develop models using a consistent, statistically sound process and of the highest quality.
Strong exposure either into banking Analytics Domain or CPG / Retail domain
Expertise in the usage of SAS, R, SPSS for model development.
Excellent communication skills
Experience in researching and creating proof of concepts and pitch decks, etc.
Data mining, Predictive Modeling, OLS regression, logistic regression, cluster analysis, decision trees, Naive Bayesian techniques, Neural Networks, statistical machine learning, Cross sell and up sell / Marketing mix optimization, etc.
Working on advanced data mining & predictive modelling techniques
Building client relationship, maintaining regular & productive communication with clients and stakeholders
Providing relevant solutions and consultancy to business problems
Preparing presentation decks for pitching to new clients, delivering service output to clients, etc.