Компания Itransition — один из лидеров мирового рынка ИТ-решений и услуг | 20+ лет на рынке | 2300+ сотрудников | 800+ клиентов | офисы в Европе и США.
24 августа 2021

Data Scientist (вакансия неактивна)

Киев, Харьков

Необходимые навыки

Background in statistics/econometrics/applied mathematics.
English skills sufficient for spoken communication (Intermediate level and above).
Understanding the principles of developing predictive and classification models.
Experience in collecting and analyzing data.
High analytical skills and aptitude for learning.
Excellent communication and presentation skills.

Будет плюсом

Experience with modeling and visualization tools (Excel + PowerQuery, Microsoft Power BI/Tableau/QlikView).
Knowledge of databases and SQL.
Experience with programming languages (Python or R).

Предлагаем

Working in one of the four largest IT companies in Belarus.
Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota.
Competitive compensation that depends on your qualification and skills.
Career development system with clear skill qualifications.
Flexible working hours aligned to your schedule.
Offices located in city center.
Options to work remotely.
Corporate medical insurance covering services of private and public medical centers.
Corporate discount program ensuring savings on various products and services for our employees and their kids, including but not limited to education, entertainment, insurance, food delivery, etc.
English courses right in our offices.
Corporate parties and events for employees and their children.
Internal conferences, workshops and meetups for learning and experience sharing.
Gym membership compensation, corporate sport competitions (cybersport included), corporate football, basketball and volleyball teams.
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate.

Обязанности

Analysis and identification of business tasks and of the data necessary for finding solutions.
Construction and evaluation of descriptive and predictive analytics.
Presentation and visualization of analysis results.
Building processes for collecting and processing data.