Qualification:
Bachelor\xe2\x80\x99s Degree in related field (e.g., Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
2+ years of experience of statistical methods and their proper application e.g., principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, data modeling, linear regressions, non-linear regressions, partial least squares techniques
2+ years of experience using statistical software (e.g., R, SAS, SPSS, STATA, Spark, Python-based tools)
Experience working in a cross-functional, agile product team environment/analytic delivery team
2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting
2+ years executive presentation preparation and delive


Bachelor\xe2\x80\x99s Degree in related field (e.g., Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 2+ years of experience of statistical methods and their proper application e.g., principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, data modeling, linear regressions, non-linear regressions, partial least squares techniques 2+ years of experience using statistical software (e.g., R, SAS, SPSS, STATA, Spark, Python-based tools) Experience working in a cross-functional, agile product team environment/analytic delivery team. 2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting 2+ years executive presentation preparation and delivery 2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations. 5+ years of experience using MS-Office (Excel, PowerPoint, OneNote)

Strategic Thinking:Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including cost savings, revenue, and profit
Modeling:Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using edge algorithms
Data Engineering:Experience with creating ETL processes to source and link data in preparation for Model/Algorithm development
Visualization:Create visualizations to connect disparate data, find patterns and tell engaging stories