AI ML Data Scientist (Cary)

Role: AI ML Data ScientistLocation: Cary, North Carolina, United StatesMust Have Technical/Functional Skills-Machine Learning techniques• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations.• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm,• Time series - Exponential models, Holt-Winters, ETS, Hybrid,• ARIMA & GARCH.-Deep Learning• Neural Network, Recurrent Neural Networks,-Database• SQL, Advance SQL, Oracle, NoSQL-Data Science Languages• SAS, SAS Enterprise Miner, R Programming,• Python, Spark.Statistical & Data Management Packages• Python - Pandas, Numpy, sklearn, PyOdbc• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc-Visualization• Tableau, Shiny,ggplot2, dygraphs, matplotlib, seaborn.-Big Data Technologies• Spark (Pyspark & SparkR),Hadoop,Yarn.-PM Tools• MS Project, MS Visio, TFS, JIRA-Cloud ,Web frameworks & Virtualization• Azure, Flask, Docker & Kubernets, KafkaRoles & Responsibilities• -Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.• -Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques• -Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)• - Strong leadership and capacity to work as a team player, as well as excellent communication skills• - Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.