Senior Data Scientist

Data Science & Research New York City, New York, United States

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Summary

Developed machine learning-based models for evaluated pricing of Municipal bonds, generating more than 10 million dollars per trader per year. He has also used neural network-based models for Muni benchmark curves and alpha generation via factor model and correlation-based clustering. Additionally, he has experience in Hidden Markov Model for IG Corps Mid + bid-ask spread and NLP techniques for analyzing Bloomberg messages.

Has 15+ years of experience in C/C++ and Python, 4 years of experience in Java, and has worked with Matlab, Bash and ksh scripting, R, Perl, and VBA. He has implemented a block chain in C++.

Served as a Scientific Advisor, Data Scientist, and AI Consultant at an established HealthCare firm for the migration of the company Water System from Prototype to Large Scale Production.

Expectations

Utilizing machine learning techniques to develop predictive models for business insights
Analyzing and interpreting large and complex data sets to identify trends and patterns
Collaborating with cross-functional teams to develop data-driven solutions to business problems
Developing and implementing statistical models to evaluate and optimize business performance
Conducting A/B tests to assess the impact of various business strategies
Developing and maintaining data pipelines for efficient and accurate data analysis
Communicating complex data analysis results to non-technical stakeholders in a clear and concise manner
Staying up-to-date with the latest developments in data science and machine learning techniques to continuously improve the quality of data analysis and business insights.