The Data Scientist is a key member of the Analytic Tools & Solutions (ATS) group in MIS. ATS is responsible for developing the quantitative models and analytical tools used in the rating process and across the rating agency, as well as certain MIS technology innovation activities, including advanced capabilities in machine learning and artificial intelligence. The Data Scientist will be part of a team of individuals responsible for applying the latest techniques in Machine Learning and Distributed Computing to drive business value particularly related to Blockchain and digital assets. A successful data scientist will not only be technically competent, but will be able to work collaboratively with business stakeholders to increase analytical efficiency, drive new business insights, and develop new products.
The duties of the Data Scientist include:
Development and Deployment of Machine Learning / Statistical Learning models for developing analytics and tools largely related to Blockchain and Digital / Crypto assets
Full cycle data management from collection and cleaning to processing
Identify potential data sets (internal and external) which could be used to enhance analytics
Stay up to date with the latest in statistical and machine learning methods
Applying sound software and architectural development practices in development and deployment of models as software products.
Using cloud and distributed computing platforms for model development and deployment
Communication of results to business stakeholders and decision makers
Master’s Degree in Computer Science, Statistics, Applied Math, specialized Machine Learning program, or related field
3+ years’ practical experience in Machine Learning or statistics and/or distributed computing
Working knowledge of Machine Learning techniques include Neural Networks, Tree-based Models, Linear models
Industry knowledge of Blockchain and Digital / Crypto assets is highly preferred
Experience with one or more of the following programming languages is highly preferred: Python, R, and SQL
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