Position: Data Science Engineer
Company: SoftServe
Category: Data Science
Experience required: 2y
English level: upper

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 are 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
Having a primary focus of 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, 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. You have in-depth 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 working 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 knowledge 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)
Strong knowledge in 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 and life cycle
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 in Big Data solutions and advanced data mining tools
Experience in Data Science Specializations (Natural Language Processing, Recommender Systems)
Skill 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).

YOU WANT TO 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
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 &ndash; 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 who are very 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