What you- ll do:
- Lead forecasting projects by serving as the technical lead for the project. Own & manage results
- Liaise with business stakeholders from various countries to understand changes in market conditions, the resulting impact of those changes on forecasting models and updating forecast to reflect those changes
- Support exploratory data analysis and hypotheses testing needs for business teams
- Analyze historical data and develop univariate / casual forecasts driven by different machine learning, time-series modelling techniques
- Work closely with the BI team in the development and maintenance of the analytical reporting tools
- Manage analytics team members and talent pipeline
Your Qualification :
Bachelor's with > 7 years of Data Science experience OR Masters with > 5 years of Data Science experience OR PHD iStatistics / Mathematics / Economics with > 2 years of Data Science experience
From a recognized institute
Must have skills:
- Analyzing complex business problems and translate them into analytical approach
- Statistical Methods - Regression Techniques Time-Series Forecasting - Any technique Data Cleaning - Missing Value, Outlier Treatment, Multi-collinearity
- Programming - R / Python or Both
- Effective written and oral communication skills in English
Preferred skills :
- Statistical Methods -
Factor Analysis / PCA Time-Series Techniques - UCM, VAR, Holt-Winters, ARIMA, ARIMAX Regression - Ridge, Lasso, CCR, PCR, Logistic, SEM's Clustering Techniques - K-means, Hierarchical, Latent Class Machine Learning Techniques - Forecasting, Decision Trees, Random Forest, Neural Networks, SVM- s, XGBoost, Deep Learning, NLP
- Programming - HDInsight, R Shiny platforms, SQL
- Big Data - Hive, Pig
- Data Visualization Tools - Qlikview, Tableau
- Mentoring / managing junior team-members on approach and results
- Advanced Excel, Macros
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