Description

Start.io is a mobile marketing and audience platform. Start.io empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. Start.io 's direct integration with over 500,000 monthly active mobile apps provides access to unprecedented levels of global first-party data, which can be leveraged to understand and predict behaviors, identify new opportunities, and fuel growth.

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 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

Must:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields.
• 3-4 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