ELEKS’ Data Science Office is the largest group of data professionals in Ukraine
ELEKS’ Data Science Office (DSO) is the largest data science group in Ukraine and one of the two largest centres of machine-learning competence in the country. Originally a part of the Business Analysis Office, the DSO now focuses on gathering talented mathematicians, business analysts and software developers.
We experiment with models, services and approaches to solve our customers’ business problems and implement comprehensive solutions that yield the greatest value. Data science is a creative field that requires the understanding of customers' needs and the demands of a variety of industries to offer and apply a customised mathematical approach to differing business requirements. Our data scientists oversee the entire process; from business analysis and mathematical modelling, to algorithm selection, solution implementation and integration.
Our Data Science Office is all about learning and developing. We offer an extensive list of knowledge items that are categorised according to three levels: qualified, competent and expert. Each knowledge item contains links to useful learning materials from reputable and renowned sources like Stanford University, Coursera or Udacity.
Junior-level data scientists have a great opportunity to study by carrying out real-life projects. For those of you who would like to develop your soft skills, ELEKS offers helpful training programmes, including a special leadership programme for tech leads. Language acquisition and proficiency is an integral part of personal development; ELEKS’ in-house language school can help you with that. You can browse the full list of learning services at ELEKS University
We welcome seasoned professionals as well as junior data scientists who know how to work with Python, enjoy mathematical thinking and have a logical mind. There are three blocks of skills a data scientist needs to have to be a part of our team: business, logic and technology.
Defines the skills of communication with customer, identifying requirements and forming a vision
Includes statistics, machine learning and artificial intelligence.
Requires the skills for implementing the model as a complete component.