Role Objective :
The Data Scientist supports the Head - Data Science & Advance Analytics by conducting data extraction, data manipulation, and advanced analytics in order to support both the Pure Science & Methodology and Research Intelligence & Operations teams within the Measurement Science Department as well as various corporate projects.
Job Responsibilities :
- Conducts experimental data mining, fusion and data modelling projects.
- Designs and applies modelling algorithms to be deployed for production improvements.
- Discovers new data sources and new uses for existing data sources.
- Creates and enhances statistical models for numeric and categorical data.
- Designs fusion and modelling approaches and documents processes and outcomes.
- Works across a broad range of data platforms, formats and processing techniques.
- Cleans, modifies and formats large data sets.
- Combines technical skills with business savvy to transform large amounts of data into relevant and actionable insights.
- Uses advanced Analytic techniques such as Log-linear Modelling, CHAID Analyses, Regression Analysis, Markov Chain Attribution, Logistic Regression, Clustering, Decision Trees, Optimization, Simulation, Cross Validation etc.
- Develops new technical skills and improves business knowledge to encourage innovation.
Measure of Success (KRA- s) :
- Provide accurate statistical inference and analysis on data sets allowing for the deeper understanding of patterns in the television viewing data
- Successfully develop code to support analysis, data extraction, or data manipulation
- Develop various statistical, fusion, and calibration models
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