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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Data Scientist, Infrastructure, Marketing

AI Summary ✨

Requirements

  • Master's degree in Science, Technology, Engineering, or Mathematics or related field, or equivalent practical experience
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, statistical analysis, or a PhD degree

Nice to Haves

  • Experience working with Cloud Analytics products like GCP (Vertex AI)
  • Experience with business analytics in building big data pipelines, schemas, and data sets within a media data context
  • Experience using reporting tools (e.g., Tableau, Looker, Power BI) to improve decision-making
  • Experience with marketing data
  • Experience with root cause analysis at tactical and strategic levels

What You'll Be Doing

  • Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies
  • Build and maintain data pipelines, dashboards, and business scorecards
  • Develop QA processes for data validation
  • Manage evaluation frameworks for Machine Learning and LLM models
  • Work with stakeholders to ensure systems are usable for defined deliverables

Perks and Benefits

  • Opportunity to work at Google in Dublin, Ireland
  • Contribute to global marketing data projects with a focus on digital marketing data engineering
  • Own end-to-end program management and delivery of key initiatives supporting analytics, reporting, modeling, and optimization projects
Apply here
Google logo

Google

Dublin, Ireland

Experience: Senior
Posted: July 18, 2025
Gcp
Nodejs
Python
dataengineering

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