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Senior Data Scientist

5 months ago
Poland, Ukraine, Armenia
Full-time
Senior
Data Scientist
Data Science and Analytics
Grafana Kibana LightGBM Machine Learning MongoDB Python SQL XGBoost
Apply Now
GlobalDev Tech

GlobalDev Tech

Custom software engineering & staff augmentation company Globaldev drives businesses to maximize their potential with our custom software development and staff augmentation services. Globaldev Group supports the most exciting technology companies, by p...

Internet Software & Services
51-250
Founded 2021
View All Jobs 13

Description

  • Analyze large and complex datasets to discover hidden patterns, opportunities, and insights.
  • Develop and own end-to-end, highly scalable data pipelines for batch and streaming workflows.
  • Design, develop, and deploy state-of-the-art machine learning models and algorithms, especially for monetization use cases.
  • Provision and optimize data models for real-time (online) processing and serving.
  • Shape new data products and continuously improve existing products based on performance and business needs.
  • Collaborate cross-functionally with Product, BI, Analysts, DevOps, R&D and Marketing to define and deliver overall solutions.
  • Oversee full releases to production, including requirements analysis, testing, monitoring, measuring results, and rapid response to critical issues.

Requirements

  • B.Sc./M.A./M.Sc. in Computer Science, Engineering, Mathematics, Statistics, or equivalent field.
  • 6 years of experience working as a Data Scientist.
  • Strong background in machine learning concepts and models.
  • Hands-on experience with Python and data-science/ML libraries (including regression & classification algorithms such as XGBoost or LightGBM, and recommendation-system algorithms).
  • Experience provisioning and operating models for real-time/online processing and serving.
  • Experience with databases and SQL for data retrieval.
  • Experience with monitoring and alerting tools (e.g., Grafana, Kibana).
  • Preferred: knowledge of the programmatic advertising landscape (DSPs, SSPs, exchanges).
  • Preferred: experience with relational (e.g., Vertica, VoltDB) and non-relational (e.g., MongoDB) databases.
  • Preferred: experience with PMML.

Benefits

  • Support and guidance from a caring HR team.
  • 20 days of vacation per year.
  • Opportunities to exchange experience and collaborate with talented colleagues.
  • Competitive/valuable compensation for your efforts.

Interested in this position?

Apply directly on the company website

Apply Now

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