Data Scientist (Advanced Analytics); ID 68890

Published on Aug 23, 2021

An Outsource company with offices in Kyiv, Ukraine; Kharkiv, Ukraine; Lviv, Ukraine; Odessa, Ukraine; Zaporizhzhya, Ukraine; Dnipro, Ukraine.

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3-5 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline includes deep analysis of customer data, modeling, and deployment in production. It also includes decision-making regarding relevant computational tools for study, experiment, or trial research objectives
Production of clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
Presenting results directly to stakeholders and gathering business requirements
Compiling and interpreting analysis results as well as contributing to the proposals and architecture vision delivered to the customer

What You Should Bring

Ph.D. or Master’s Degree in Computer Science or related field
Practical experience and extensive knowledge in Applied Statistics and Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that non-technical audience can easily understand
Suitable knowledge of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
Expertise in more than one Data Science Specializations such as NLP, Time Series Analysis, CV, Recommender Systems, and others
Understanding of Machine Learning operationalization processes
Experience in working on complex projects where independent judgment is used within a broad range of defined procedures and practices
Understanding the concept of Software Development Life Cycles of AI projects
Upper-intermediate English level or higher


Knowledge in Big Data solutions and advanced data tools in Cloud Platforms
Hands-on experience in building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
Advanced proficiency in programming software such as Python, R, C++, Scala, and others
Strong interpersonal, analytical, and problem-solving skills to lead teams of data scientists and software engineers to successful project execution

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