8533 - Machine Learning (Data Scientist with Machine Learning, Python, AWS, Big Data, Pyspark )

Location: McLean, VA

Machine Learning & Distributed Ledger Sr. Engineer (Temp to Perm)

Job Description
•    Responsible for delivery in the areas of: data science/machine learning & Distributed Ledger including technology implementations and algorithm development
•    Write software (in Python/R/Java) to extract, clean and manipulate large datasets both structured and unstructured
•    Construct data staging layers and fast real-time systems to feed machine learning algorithms
•    Review and independently test the effectiveness and accuracy of Image Analytics, NLP and machine learning models
•    Utilize expertise in models that leverage the newest data sources, technologies, and tools, such as machine learning, Python, Hadoop, AWS, as well as other cutting-edge tools and applications for Machine Learning.
•    Investigate the impact of new technologies, applications, and data sources on the future of secondary mortgage business
•    Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions.
•    Develop both deployment architecture and scripts for automated system deployment in AWS
•    Create large scale deployments using newly researched methodologies
•    Work in Agile environment
•    Experience mentoring junior engineers.
Basic Qualifications
•    Bachelor’s degree in Mathematics, Statistics, Computer Science
•    Comprehensive knowledge of modern statistical learning methods
•    At least 5 years’ experience with machine learning and natural language processing
•    At least 5 years’ experience with Distributed Ledger technologies
•    5+ years of experience working with AWS
•    At least 5 years’ experience in Python (NumPy, SciPy, scikit-learn, pandas, Theras, Theano) and any other open source programming languages for large scale data analysis
•    At least 7+ years’ experience in Java 
Preferred Qualifications
•    Master’s Degree in Computer Science
•    2+  years of experience working with financial data
•    5+  years of experience in Python (including NLP) for large scale data analysis
•    7+ years of experience with SQL & relational databases
•    Strong communication skills, with the ability to work both independently and in project teams