Data Scientist with Risk Assessment Experience

22 июля 2019    64
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Qualifications:

— Master degree in Computer Science, Artificial Intelligence, Data Science or a related field
— Good programming skills in one of the following programming languages: Python (preferred), Java, Scala, R, С++
— 2+ years of hands-on production experience in Machine Learning and Deep Machine Learning (RNN, CNN, LSTM)
— Experience in applying Machine Learning techniques on Spark, Hadoop
— Good command of graph databases and algorithms on graphs
— Background in Semantic Web technologies such as OWL API, Jena, SPARQL, RDF Repositories (e.g. Virtuoso) is a huge plus

General Requirements

— Work in a collaborative team in an Agile environment focused on the full life-cycle of software
— Build new products from the ground up, with high performance, scalability, and reliability
— Experience/discipline to create efficient, maintainable, robust, well tested, documented code
— Experience in enterprise data processing software
— Openness to work with versatile domains and miscellaneous data science / AI tasks
— Strong English (upper-intermediate, advanced)

— On-work training and possibility for professional growth
— Flexible working hours
— 20 paid vacation days
— English lessons
— Opportunity to work for one of a major US provider

— Research, model, and implement practical solutions to versatile risk modeling, money laundering, know-your-customer problems
— Develop and deploy API over-analytical solution
— Apply versatile quality assurance techniques and metrics to ensure the desired quality and performance of an analytics solution developed

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