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Start.io is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We deliver hundreds of millions of ads per day across thousands of global leading apps and websites. Our platform uses AI to deliver more efficient, effective and precise digital advertising campaigns. Our direct integration with thousands of mobile publishers gives us access to more than 50 billion first-party data signals per day across the globe. Marketers use these anonymized signals to understand and predict consumer behavior, identify new opportunities and fuel business growth. Role Overview: 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! Start.io 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 Senior Data Scientist to join our Data Science & Engineering team.
Job Responsibility:
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)
Nice to have:
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