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Data Scientist

Warsaw, Poland or Lilongwe, Malawi

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Basic Requirements

  • +3 years of experience in machine learning, preferably in computer vision
  • Respectable track record in competitive data modeling, and/or notable research achievements.
  • Well-versed with the latest trends with top-performing tools and the ML research community.
  • Strong fluency in both Python and in the main AI-related tools of the trade
  • Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through daily code review
  • Non-superficial intuitions about AI, beyond `import blackbox`
  • Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.
  • Good fluency in English speaking and writing (typing > 35 wpm).
  • Critical thinking skills, expressiveness, and team-oriented attitude.
  • And you have to care about the work that you do!

Nice to haves

  • Working knowledge of statistics and basic probability.
  • Experience working with enterprise data warehouse software and/or data processing pipelines.
  • Experience working with datasets that cannot fit on a desktop, and systems engineering techniques for overcoming these constraints.
  • Evidence of leadership and team-building skills.

Work with us and contribute to these projects

State-of-the-art optical character recognition of handwriting in health information systems

Computer vision for object detection, segmentation, and video processing for medical applications

Classification of land usage from satellite imagery, to assist governments with food security

Perks of working with QED

Unusual, socially conscious projects icon

Unusual, socially conscious projects

Little bureaucracy icon

Little bureaucracy

Travel to exotic places around the world! icon

Travel to exotic places around the world!

QED provides mission-critical support to health and agricultural projects in 13 countries. We help our partners scale their operations by using software and artificial intelligence (AI).