Analyze large and complex data to discover hidden patterns and opportunities;
Develop and own end-to-end highly scalable data pipelines;
Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields;
Provisioning data models for real-time (online) processing;
Shape new data products, and constantly improve the existing products;
Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions;
Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.
Requirements:
B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
6 years as a Data Scientist - a strong background in ML concepts and models;
Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.;
Understanding of databases and SQL for data retrieval;
Monitoring and alerting tools (e.g. Grafana, Kibana).
Will be a plus:
Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage;
Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases;
Experience with PMML.
What we offer:
Help and support from our caring HR team;
20 days of vacation;
The exchange of experience and work with talented colleagues;
Last but not least - valuable compensation for your efforts.