ML model or Data Data Scientist(Market mix) @ Vijay Deonath Kuwar

Job Description

Role : ML model or Data Scientist(Market mix modelling) Experience - 5 to 12 years Notice : 90 days Location : Pan India JOB RESPONSIBILITIES & SPECIALIZATION: Econometric modeling team is looking for a modeling professional who has experience building market mix models. This person will be responsible for the following and may work very closely with the client daily: # Analyze modeling dataset to understand trends and seasonality. Check data for outliers and identify data issues. # Create media response transformations for all media variables # Pull macroeconomics data from a website # Compile modeling dataset # Build market mix model from scratch, create base and channel contributions, calculate channel ROIs # Create optimizations for what-if scenarios # Create necessary charts (including trend and waterfall) and tables for presentations # Build present at ion slides # Join modeling status calls Required experience and skills: # At least 3 years of experience in. building market mix models # Understanding of time series regression, pooled time series regression, logistic regression, segmentation techniques # Understanding of media and advertising variables, response curves # Hands on knowledge of Python

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Application Programming / MaintenanceClient Server
Functional Area: Not Applicable
Role/Responsibilies: ML model or Data Data Scientist(Market mix)

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Keyskills:   Econometric modeling Logistic regression Python ML model Data Scientist Market mix modelling Time series regression Pooled time series regression Segmentation techniques Media advertising variables Response curves