Position: Middle Data Scientist
Company: KYIVSTAR
Category: Data Science
Experience required: 2y
Published: 2020-06-01T00:00:00+03:00

For the period of quarantine Kyivstar continues his work and takes care that our clients keep in touch with their relatives and friends, being duly provided with high quality information. 
Our activity hasn’t stopped and most of our employees work remotely. During this complicated period we conduct job interviews online, make job offers and arrange remote working mode for our candidates.  
Stay at home and we will take care of your job interview, making it comfortable and safe! 

Project:
Within the digital transformation strategy, Kyivstar is investing resources into the development of a data management platform (DMP) based on BigData technologies, the Hadoop ecosystem and cloud computing platforms. 
One of the areas of development is the elaborationand implementation of products for internal and external customers using big data and machine learning technologies. So we are looking for a team of DataScientists - 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 at regular intervals 
Flexible working hours 
—    Medical and life insurance; 
—    Great possibilities for professional development and career growth; 
—    Friendly & Collaborative Environment. 

Reguirements:
—    1+ year experience with R / Python (statistical and ML packages)
—    Understanding theoretical concepts of statistics/probability, data mining, machine learning
—    Advanced knowledge of SQL
—    Experience in solving business problems with analytical models
—    Able to build meaningful visualizations of results


Will be a plus:
—    Applied research experience in the domain of data management, visualization and analytics, incl. affinity to the industrial research way of working. 
—    Experience with Data Sciences within Telecom. 
—    Familiar with Hortonworks or Cloudera distributions
—    Knowledge and hands-on experience with one or more of the following: Spark/Pytorch/TensorFlow
—    Kaggle challenges
 
Responsibilities:
—    Preprocess data for analysis
—    Exploratory data analysis
—    Generate insights from data
—    Develop pipelines with machine learning and artificial intelligence models and algorithms
—    Prepare development and deploy documentation for data engineers
—    Explain modeling approaches and discuss results / business impacts with non-technical staff