Senior Data Scientist - Real-Time ML & Data Pipelines

Globaldev Group

Poland

On-site

PLN 180,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Health insurance
20 days vacation
Multisport

Job summary

Start.io is seeking a Senior Data Scientist to join our Data Science & Engineering team in Poland. You will shape the future of decision-making by working with vast real-time data and cutting-edge technologies, impacting billions of mobile users.

You will build scalable data pipelines, develop ML models, and collaborate with Product, BI, Analysts, DevOps, R&D and Marketing to deliver end-to-end solutions. Strong Python ML skills and SQL are essential.

Qualifications

  • B.Sc./M.A./M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields.
  • 6 years as a Data Scientist with strong ML background.
  • Hands-on experience with Python, especially ML libraries for regression, classification, and recommendation systems.
  • Understanding of databases and SQL for data retrieval.
  • Monitoring and alerting tools such as Grafana and Kibana.

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 for monetization fields.
  • Provisioning data models for real-time processing.
  • Shape new data products and improve existing products.
  • Collaborate with Product, BI, Analysts, DevOps, R&D and Marketing to lead solutions.
  • Oversee complete release to production including requirements analysis, testing, monitoring and rapid response to issues.

Skills

ML concepts
Python ML libraries
SQL

Education

BSc/MSc in CS/Engineering/Math/Statistics

Tools

Grafana
Kibana

Job description

Start.io is seeking a Senior Data Scientist to join our Data Science & Engineering team in Poland. You will shape the future of decision-making by working with vast real-time data and cutting-edge technologies, impacting billions of mobile users.

You will build scalable data pipelines, develop ML models, and collaborate with Product, BI, Analysts, DevOps, R&D and Marketing to deliver end-to-end solutions. Strong Python ML skills and SQL are essential.

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