AI ML Data Scientist

Must 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

Roles & 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.

Salary Range- $100,000-$120,000 a year

#LI-OJ1

Location

Cary, NC

Job Function

TECHNOLOGY

Role

Engineer

Job Id

413624

Desired Skills

Artificial Intelligence

Salary Range

$100,000-$120,000 a year

Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE

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AI ML Data Scientist

Job description