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Data Scientist
Ref No.: 18-21437
Location: Chicago, Illinois
Position Type:Full Time/Contract
Start Date: 03/30/2018
 Skills and competencies:
·        Possesses a solid quantitative background, with a degree in mathematics, statistics or related field
·        Combines a range of skills including statistical modeling, programming, machine learning, mining structured and unstructured data
·        Experience in Fraud and AML analytics preferable with exposure to developing Fraud models and strategies, AML Screening & Transaction Monitoring, Tuning and Optimization of models etc.
·        Strong knowledge and experience with R, Python
·        Knowledge and experience with HDFS systems using Hadoop & Hive
·        Experience developing and implementing machine learning models using Python, SparkML, Scala, TensorFlow, Keras etc.
·        Experience with one or more business intelligence tools (Tableau/PowerBI/QlikView etc.)
·        Demonstrated experience on multiple data science problems across supervised & unsupervised modeling approaches, using a range of machine learning/deep learning methodologies
·        Clear understanding of different hyper-parameters applicable to various modeling techniques and tuning them to obtain optimum results
·        Experience with mining & getting insights from text data using NLP/NLG approaches
·        Experience on application of deep learning techniques on image/video analytics or computer vision would be a plus
·        Experience with implementing machine learning models on AWS, Azure or Google cloud would be a plus
·        Possesses credit domain knowledge, the ability to provide a data narrative, and a penchant for exploring data and finding patterns