Quantum Technologies. LLC
Lead Analyst - Data Science
Quantum Technologies. LLC, Trenton, New Jersey, United States,
Qualifications:
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.Experience in quantitative discipline (Statistics, Economics, Econometrics, Mathematics, Operations Research, or equivalent), CFA, MBAs, with relevant experience in the field of Analytics.Preferred:
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, Platform & Frameworks including Cloud platform (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.Forecasting,Customer, CRM AnalyticsBilling and Device AnalyticsOperations AnalyticsRecommendation AnalyticsCampaign ManagementCustomer SegmentationSales & Marketing AnalyticsOnline & Social AnalyticsFinancial & Risk Analytics
Familiarity with database query tools (SQL). Basic understanding of data warehouse architecture.Strong Excel, Access and PowerPoint skills.
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Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.Experience in quantitative discipline (Statistics, Economics, Econometrics, Mathematics, Operations Research, or equivalent), CFA, MBAs, with relevant experience in the field of Analytics.Preferred:
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, Platform & Frameworks including Cloud platform (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.Forecasting,Customer, CRM AnalyticsBilling and Device AnalyticsOperations AnalyticsRecommendation AnalyticsCampaign ManagementCustomer SegmentationSales & Marketing AnalyticsOnline & Social AnalyticsFinancial & Risk Analytics
Familiarity with database query tools (SQL). Basic understanding of data warehouse architecture.Strong Excel, Access and PowerPoint skills.
#J-18808-Ljbffr