Job Description :
Analyze Data to identify useful relations, Trends and patterns in data
Continuously identify and explore new and unconventional data sources.
Apply advanced statistical, machine learning, and other types of analytical techniques analytics to improve monitoring and auditing techniques
Design, develop, and implement statistical and machine learning models to measure data quality
Help develop advanced self-learning algorithms and experiment design methodologies to solve them
Proficient programming skills in at least one of the following languages: Java, Python, SAS, or R.
Experience in writing advanced SQL
Experience in working with large datasets
Experience building and optimizing big data pipelines, architectures, and data sets: Hadoop, Spark, Hive (UDF), Python
Experience implementing machine learning back-end pipeline: Spark ML-lib, Scikit-learn, Pandas, Numpy
Strong analytic skills related to working with structured and unstructured datasets: Hive (UDF), Pandas
Strong communication and team collaboration in a dynamic environment
Experience with AWS cloud services: EC2, S3