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SoftServe is a global digital solutions company with Ukrainian roots. We are a team of thinkers, doers, dedicated good people who like what they do and do it well. For us, that means a lot.
7 серпня 2020

Data Scientist (Advanced Analytics), ID 55485 (вакансія неактивна)

Київ

WE ARE
Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science and experience design.
We are one of the best and oldest Data Science teams in Ukraine and you will get tons of experience working with the best talents in the field.
We are a Data Science Center of Excellence and you will have a chance to contribute to the wide range of projects from different areas and technologies. We’re looking for you, a person who is inspired by data, analytics, AI as we do, and who wants to grow with us!

YOU ARE
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 logo portfolio.
You should be strongly competent in Applied Statistical Data Analysis, competent in solving Data Mining and Machine Learning problems with application to the Predictive and Prescriptive analytics techniques, and qualified in Deep Learning techniques application. You have in-depth knowledge of all mandatory technical and logical areas of the practice, understand all technical and logical areas of the practice, and have their own researches and publications.
A candidate demonstrating such experience and abilities as
• Ph.D./ Master’s Degree in a quantitative field (Math, Statistics, Computer Science, Engineering, Data Science, Operations Research, etc.)
• 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)
• Advanced knowledge and hands-on 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)
• Strong knowledge of 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
• Understanding of software development company functioning
• Concept of software development life cycles
• Upper-Intermediate English level or higher (oral/written)
Your extra power
• Good understanding of Digital Signal Processing and Prescriptive Analytics (what-if analysis, Decision-tree based model, fuzzy inference systems)
• Knowledge in Big Data solutions and advanced data mining tools
• Expertise in Data Science Specializations (Natural Language Processing, Recommender Systems)
• Experience with Machine Learning / Advanced analytics Cloud Platforms
• Understanding of machine learning productionalization processes
• Advanced proficiency in statistical programming software, (e.g, R, Python, SAS, Matlab, etc.)
• Data Warehousing, Collection and Transformation (Databases, database systems, SQL and NoSQL)
• Development Tools (SVN, Git)

YOU WANT TO WORK WITH
• Full-stack Data Analysis, Data Mining, Predictive analytics, Machine Learning models pipeline and deep analysis of customer data collected. 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

TOGETHER WE WILL
• 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 on cutting-edge technologies
• Have the ability 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

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