Senior Data ScientistCharlotte, NCTechnical Requirements3+ years' work experience in predictive analytics, machine learning spaceData Analysis – Understanding and analyzing large, complex, multi-dimensional datasets and build/enhance data science features relevant for unique client business and data profile2+ years Statistical modelling, validation of Client algorithm and performance tuning of modelsData Wrangling2+ years' experience in transactional anomaly prediction, operational risk modelling or other financial services functional areaProficiency with Python and the ability to write production-ready codeBig data experience. Working knowledge of Spark, HadoopExcellent understanding of theoretical and applied machine learningWorking knowledge SQL or other relational database solutionsEffective Solution Design and Comprehension – Application architectureData architecturesInfrastructure Primary – On-premise private cloud and standalone Big Data infrastructure.Secondary – Cloud – AWS, MS, otherSecondary – Large financial service legacy environmentJob PerksAttractive variable compensation packageFlexible working hours – everything is results-orientedOpportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning