Experience in econometric modeling like forecasting techniques
Define project objectives and scope to deliver the projects satisfactorily
Deliver projects within budget and time without supervision
Leverage internal horizontal teams to enhance delivery such as Automation teams, Transition, Quality
Network internally across regions to discover and implement best practices
At least 5+ years of hands-on experience in the Econometric/Predictive modelling, Data Mining techniques and methodologies, regressive and time series techniques etc.
Hands-on experience in:
R/Python, SAS, SPSS (at least any one)
Linear Regression, Generalized Linear Models, Probit, Logit, ARIMAx, Vector Auto regression, Cointegration, Hazard etc.
Forecasting (desired area – Sales & Marketing)
Experience in using Microsoft Applications stack
Dive deep into data to find key insights that impact and enhance product marketing recommendations.
Analyze multiple large data sets using data mining, statistics, and database techniques in COSMOS/SQL Server
Ability to work with tools like COSMOS, C# and SQL Server.
Build quick mock-ups and PoCs in R/Python
Build key predictive, regression, causal, time-series & optimization models.
Expertly create various models by looking into various business problems and data sets with minimal supervision
Work with multiple Application groups to formulate their business decisions as data science problems.
Surface actionable recommendations that deliver business value. Qualifications
BE/B.Tech/MCA/M. Tech. /MSc/Ph.D. in Computer Science, Engineering Disciplines, Mathematics, Statistics with computer programming skills (Masters/PhD preferred)
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