Senior Data Scientist

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 cuttingedge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Start.io is a mobile data platform that enables organizations to uncover insights and make datadriven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team. 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. 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. Originally posted on Himalayas