about-project :

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 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 receive a chance to contribute to a wide range of projects in different areas, domains, and technologies.

responsibilities :

Implement and support predictive models
Apply data mining techniques
Provide analytical support in the pipeline of Machine Learning models operationalizing process
Work with the full-stack data analysis, deep learning, and machine learning models pipeline including deep analysis of customer data, modeling, and deployment in production
Provide decision-making regarding relevant computational tools for study, experiment, or trial research objectives
Create clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
Present results directly to stakeholders and gather business requirements
Compile and interpret analysis results as well as contribute to the proposals and architecture vision delivered to the customer

requirements-expected :

A holder of a Ph.D. or Masters Degree in Computer Science, or a related field
Proficient in Applied Statistics and Data Mining to identify hidden patterns in data, evaluate current data flow, or develop a new one
Knowledgeable of SoTA in Machine Learning, Deep Learning, and their application to solving complex problems
An expert in more than one Data Science Specialization: NLP, Time Series Analysis, Recommender Systems, and others
Aware of AI projects Software Development LifeCycles and experienced with MLOps processes
Experienced in the deployment of AI solutions to at least one cloud environment (AWS, GCP, or Azure)
Accustomed to complex projects where independent judgment is used within a broad range of defined procedures and practices
Skilled in Big Data solutions and advanced data tools in Cloud Platforms (nice to have)
Building and operationalizing Machine Learning models: data manipulation, experiment design, developing analysis plans, and generating insights (would be a plus)
Easily translating complex concepts in a meaningful way to make a non-technical audience understand
Fluent in English (C1) to cover presentations and verbal and written communication

offered :

Establish trust and build relations with many stakeholders
Have a multicultural team with an open IT mindset rather than a banking type
Be able to propose and implement solutions
Support your technical and personal growth – we have a dedicated career plan for all roles in our company
Share many other advantages: attractive salary, modern office, a package of benefits, language classes and more

benefits :

responsibilities :