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