About this opportunity
ClifyX lists this AI ML Data Scientist opportunity in cary, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AI ML Data ScientistMust Have Technical/Functional SkillsMachine Learning techniquesUnsupervised - 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 NetworksDatabase - SQL, Advance SQL, Oracle, NoSQLData Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, SparkStatistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc, R- dplyr, car, caret, lubridate, zoo, Rminer, R-OdbcVisualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seabornBig Data Technologies - Spark (Pyspark & SparkR), Hadoop, YarnPM Tools - MS Project, MS Visio, TFS, JIRACloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernets, KafkaRoles & ResponsibilitiesData 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 techniquesProficiency 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 skillsSome knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Worksite address
cary, NC, 27511, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.