Lead Analyst - Data Science

Energy Domain experience highly preferred.Proficiency with statistical analysis tools (e.g. R & Python) - SAS, SPSS knowledge preferable.Hands-on experience in Statistical & Machine learning Techniques & Deep Learning such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others. Also, experience in Advanced Analytics i.e. LSTM, RANDOM FOREST, KNN algorithm neural networks etc.Understanding of various Analytical Tools, Platforms & Frameworks including Cloud platforms (AWS, GCP, Azure), Hadoop, and PYSPARK.Experience in optimization (linear, mixed integer, constraint programming), simulation, rule-based scoring and/or predictive analytics.Analytics Experience is required:ForecastingCustomer, CRM AnalyticsBilling and Device AnalyticsOperations AnalyticsRecommendation AnalyticsCampaign ManagementCustomer SegmentationSales & Marketing AnalyticsOnline & Social AnalyticsFinancial & Risk AnalyticsFamiliarity with database query tools (SQL). Basic understanding of data warehouse architecture.Strong Excel, Access and PowerPoint skills.

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