General Requirements:
— Work in 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)
Qualifications:
— Bachelor / 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
— 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
— tasty coffee, tea and cookies
— Research, model, and implement practical solutions to versatile risk modelling, money laundering, know-your-customer problems
— Develop and deploy API over analytical solution
— Apply versatile quality assurance techniques and metrics to ensure desired quality and performance of an analytics solution developed
Envion Software is currently looking for a data scientist with a production experience in Risk Assessment and Know Your Customer domains to join the Envion’s Research & Development team.
Project:
The project would be a good fit for those who are eager to face the challenge of constructing a flexible and scalable platform enriching user insights in data discovery, comprehensive data analysis, and knowledge management for a broad range of resources. If you are passionate about intellectual algorithms, big data processes, and high-performance programming this project will be a right choice for you.