Data Scientist

Лого на SoftServe




Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field. In a Data Science Center of Excellence, you will have a chance to contribute to a wide range of projects in different areas and technologies. We are looking for a person inspired by data, analytics, and AI as much as we are, and the one who wants to grow with us!



  • A Data Scientist who will help us discover the information hidden in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be to work on Data Science related problems for different business domains, implement and support predictive models, apply data mining techniques, provide analytical support in the pipeline of Machine Learning models productionalization process, communicate with the world-leading companies from our logos portfolio
  • Strongly competent in Applied Statistical Data Analysis, proficient in solving of Data Mining and Machine Learning problems with application to the Predictive and Prescriptive analytics techniques and qualified in Deep Learning techniques application
  • Showing in-depth knowledge of all mandatory technical and logical areas of the practice, understanding of all technical and logical areas of the practice and having their own researches and publications
  • Possessing PhD/ Master's Degree in a quantitative field (Math, Statistics, Computer Science, Engineering, Data Science, Operations Research, etc.)
  • Having extensive knowledge and practical experience in Applied Statistics (Exploratory Data Analysis and Distributions Fitting, Inference on Populations, Regression Analysis, Factor Analysis and Dimensional Reduction) and Data Mining (Clustering, Frequent Pattern Mining, Outliers Detection)
  • Showing deep skills and practical experience in Advanced Data Analysis (Casuality, Data Analysis in Social Science, Network Analysis) and Predictive analytics (Regression Models, Time-series analysis and forecasting, Survival or duration analysis)
  • Strongly knowledgeable about Machine learning applications and Deep Learning Experience working on projects of complex scope where independent judgment is used within a broad range of defined procedures and practices.
  • Demonstrating Advanced English level or higher (oral/written)



  • Full-stack Data Analysis, Data Mining, Predictive Analytics, Machine Learning models pipeline, and deep analysis of the collected customer data. It includes making decisions regarding relevant computational tools for study, experiment, or trial research objectives
  • The production of clear, concise, well-organized, and error-free computer programs, statistical reporting with the appropriate technological stack. Compiling and interpreting analysis results as well as contributing to the reports delivered to the customer
  • The application of appropriate Data Mining and Predictive analytics methods



  • Operationalize our clients’ AI solutions by leveraging best practices in DevOps, Machine Learning, and Solution Architecture
  • Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
  • Participate in international events
  • Get certifications in cutting-edge technologies
  • Have the possibility to work with the latest modern tools and technologies on different projects
  • Have access to strong educational and mentorship programs
  • Communicate with the world-leading companies from our logos portfolio
  • Work as a consultant on different projects with a flexible schedule

Required skills

Data Analysis
Data Mining
Data Science
Machine Learning


Additional medical insurance
Company training
Discounts from various retail chains
Food vouchers
Fruit and snacks in the office
Home office
Language courses
Massages in the office
Office drinks
Referral bonuses
Service parking (parking space)
Special offers for certain hotels and resorts
Sports card
Team buildings