Envion Software is a Boston, US-headquartered custom software provider with R&D offices in Kharkiv, Odessa (Ukraine) and St. Petersburg (Russia).
5 июня 2019

Data Scientist with Domain Modelling Experience (вакансия неактивна)

Харьков, Одесса, удаленно

Необходимые навыки

We are looking for an expert with data science and engineering skills and real-world experience in semantic web, ontology development, and natural language processing (NLP) to join our Research & Development team on a full-time basis.

Requirements:
— Master degree or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Computational — Linguistics or a related field
— Good programming skills in one of the following programming languages: Python, R, Java, Scala, С++
— 3+ years of hands-on production experience as a data scientist and /or machine learning engineer
— Familiarity with graph theory and its applications for data modelling
— Experience in applying analytical techniques on Spark, Hadoop
— Good command of graph databases and algorithms on graphs
— Background in Semantic Web technologies
— Comprehensive knowledge of Natural Language Processing tasks, algorithms, technology tack
— Expertise in signal processing, computer vision domains is beneficial
— Good command of English is a must

Обязанности

— Examine, document and model business and industry domain knowledge in terms of a property graph or an ontology
— Translate business-relevant scientific, engineering, and commercial problems into questions that may be address using data analytic
— Contribute to all stages of a data analytics project, including problem formulation, solution development, and deployment
— Retrieve and pre-process data from miscellaneous data sources
— Perform exploratory data analysis
— Design and perform experiments in support of analytic solutions proposed
— Iteratively and reproducibly build, analyze, and compare statistical and/or machine learning models
— Apply versatile quality assurance techniques and metrics to ensure desired quality and performance of an analytics solution developed
— Deploy data-analytic products and document data-analytic achievements in technical documentation

О проекте

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.