Передусім, Київстар — це український телекомунікаційний оператор, послугами якого користується понад 26 млн абонентів. Київстар входить до складу міжнародної групи VEON Ltd, офіс якої знаходиться у Нідерландах. Акції Групи торгуються на фондових біржах NASDAQ, Нью-Йорк та Euronext, Амстердам.
9 июня 2021

Senior Data Scientist


Project: Within the digital transformation strategy, Kyivstar is constantly improving it’s data management platform (DMP) based on BigData technologies, Hadoop ecosystem and cloud computing. One of the streams is development and implementation of data-products for internal and external customers using BigData and Machine Learning technologies. So we are hiring Data Scientists — experts in the field of machine learning and analytics with practical skills in MLpipelines development using OpenSource tools.

We offer:
· A unique experience of working for the largest and most beloved mobile operator in Ukraine
· Real opportunity to ship digital products to millions of customers;
· A competitive salary;
Annual bonus
Paid sick leave and vacation
Financial aid in different life situations
Possibility to work remotely
Flexible working hours
· Medical and life insurance;
· Great possibilities for professional development and career growth;
· Friendly & Collaborative Environment
· Microsoft Azure certification

· 3+ year experience with Python (statistical and ML packages), advanced knowledge of SQL
· Understanding theoretical concepts of statistics/probability, machine learning (not just training models)
· Experience in implementing data science to achieve commercial goals
· Excellent business understanding, problem-solving abilities, and organizational skills
· Ability to build meaningful visualizations of results

Will be a plus:
· Experience with Data Sciences within Telecom
· Knowledge and hands-on experience with one or more of the following:Spark/Pytorch/TensorFlow/Scala
· Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
· Kaggle challenges

· Preprocess data for analysis and conduct Exploratory Data Analysis (EDA), generate insights from data
· Develop pipelines with ML/AI algorithms
· Contribute to ML ecosytem development
· Communicate and coordinate with Data Engineers
· Explain modelling approaches and discuss results/business impacts with non-technical staff