Senior Data Science Engineer (ID 57612) (вакансія неактивна)

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, and 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.
Strongly competent in Applied Statistical Data Analysis, competent 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.
Having knowledge of all mandatory technical and logical areas of the practice, understanding of all technical and logical areas of the practice and have their own researches and publications.
You possess such qualification as
• PhD/ Master’s Degree in a quantitative field (Maths, 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)
• Vast concept and practical expertise 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 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
• Understanding of software development company functioning Understanding of software development life cycles Upper-Intermediate English level or higher (oral/written)
Your extra power reveals in
• Good understanding of Digital Signal Processing and Prescriptive Analytics (what-if analysis, Decision-tree based model, fuzzy inference systems)
• Knowledge about Big Data solutions and advanced data mining tools, Experience 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 WORK WITH
• 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
• 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
• 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
• Support your technical and personal growth; we have a dedicated career plan for all roles in our company
• Process dynamic projects and still have so much stable place to work
• Enjoy flexible working hours; whether you are a morning bird or a sleepy-head, it is ok with us
• Take part in internal and external events where you can build and promote your personal brand
• Give you access to experienced specialists willing to share their knowledge
• Show you our casual atmosphere no dress code
• Care about your individual initiatives — we are open for them, just come and share your ideas
• Share many other advantages with you such as attractive salary, modern office, a package of benefits, language classes