If you’re a talented Data Scientist looking to be part of a fast-growing innovative R&D team, shape the future of decision-making in business, work on cutting-edge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Our product is a mobile data platform that enables organizations to uncover insights and make data-driven decisions that enhance strategies and drive growth. We are seeking a Data Scientist to join our Data Science & Engineering team.

Requirements:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• Experience is the AdTech industry (programmatic companies will be a huge advantage);
• 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).

Advantage:

• Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases;
• Experience with PMML.

Responsibilities:

• 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.

Benefits:

• Help and support from our caring HR team;
• 20 days of vacation and 10 days of paid sick leave;
• The exchange of experience and work with talented colleagues;
• Last but not least - valuable compensation for your efforts.