Senior Data Scientist

Reposted 8 Days Ago
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3 Locations
Remote
Senior level
Information Technology • Software
The Role
The Senior Data Scientist will analyze complex data, develop scalable data pipelines, build machine learning models, and collaborate with various teams to enhance decision-making products.
Summary Generated by Built In

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.

Skills Required

  • B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or equivalent
  • 6 years as a Data Scientist with strong ML background
  • Hands-on experience with Python and data science ML libraries
  • Understanding of databases and SQL for data retrieval
  • Experience with monitoring and alerting tools such as Grafana, Kibana
Am I A Good Fit?
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