• At least 4 years of experience in data science capacity within a fast-paced and complex business setting;
• Substantial experience working on strategy or full-lifecycle data science as well as experience working with data mining tools such as SAS, Python, SPSS, and R;
• Experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data;
• Good skills in SQL server reporting services, analysis services, domo, integration services, NoSQL, Tableau, Salesforce, or other data visualization tools;
• Strong verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
• Experience in Cloudera Stack (hive, impala, spark), and be highly skilled in working with platforms, such as Hadoop;
• Experience with Blockchain;
• Experience working with distributed English speaking team.
Great team spirit;
Modern technologies and management methods
Business trips to the USA
Flexible working schedule, paid vacations and sick leaves
Medical insurance
Parties every month
Great office location near subway Maidan Nezalezhnostii
• Studying new data sources and finding Insights and correlation on how it can be used in the day to day business needs;
• Providing suggestion on how to utilize the data and how to correlate with different data sources.
An English company with Kyiv office (Ncube Ltd.) is looking for Senior Data Scientist to process trading data and find intelligence in various other datasets.
Project: Algorithmic trading platform that analyses external signals and internal historical data to make real-time decisions for automatic trading of securities on stock exchanges around the world.
The Client: USA, Chicago.
Team Size: 10+ members.