AI ML Data Scientist
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Role details
Tech stack
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Requirements
Do you have experience in ggplot2?, Do you have a Bachelor’s degree?, Must Have Technical/Functional Skills
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Machine Learning techniques
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Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations.
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Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm,
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Time series - Exponential models, Holt-Winters, ETS, Hybrid,
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ARIMA & GARCH.
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Deep Learning
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Neural Network, Recurrent Neural Networks,
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Database
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SQL, Advance SQL, Oracle, NoSQL
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Data Science Languages
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SAS, SAS Enterprise Miner, R Programming,
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Python, Spark.
Statistical & Data Management Packages
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Python - Pandas, Numpy, sklearn, PyOdbc
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R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
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Visualization
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Tableau, Shiny,ggplot2, dygraphs, matplotlib, seaborn.
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Big Data Technologies
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Spark (Pyspark & SparkR),Hadoop,Yarn.
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PM Tools
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MS Project, MS Visio, TFS, JIRA
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Cloud ,Web frameworks & Virtualization
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Azure, Flask, Docker & Kubernets, Kafka
Roles & Responsibilities
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-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.
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-Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
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-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)
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- Strong leadership and capacity to work as a team player, as well as excellent communication skills
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- Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking., Qualifications : BACHELOR OF COMPUTER SCIENCE
Benefits & conditions
(part of Tata group) 3.93.9 out of 5 stars Cary, NC $100,000 - $120,000 a year
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