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Open nowPosted 109 days ago

Senior Data Scientist

Workable (global search)108,016 open roles

Where
Armenia
Work mode
Remote
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Your applicationOpen nowSenior Data ScientistWorkable (global search) · Armenia
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 109 days ago

Workable (global search) median: 7 days open

The posting

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;
  • Purchase the necessary software.
  • Health insurance coverage.
  • Multisport coverage (Poland).
  • Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues).
  • The exchange of experience and work with talented colleagues;
  • Last but not least - valuable compensation for your efforts.
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