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Computer Scientist - Remote Work

BairesDev

New Remote
Remote 🇬🇧 English
Python data structures graph algorithms information retrieval optimization techniques machine learning probabilistic inference large-scale data mining

Job description

About the role

Join BairesDev as a Computer Scientist to tackle some of the hardest algorithmic problems, designing scalable solutions for inference, ranking, matching, classification, and optimization on massive datasets.

Key responsibilities

  • Design and implement algorithms for inference, ranking, matching, classification, and prediction.
  • Create scalable heuristics operating on datasets with hundreds of millions of records.
  • Analyze computational complexity and optimize systems for large‑scale execution.
  • Design evaluation methodologies and validation frameworks to measure solution quality.
  • Transform ambiguous business requirements into well‑defined computational problems.
  • Collaborate with researchers and engineers to productionize algorithms and experiments.

Required profile

  • Degree in Computer Science or close to completion.
  • Strong fundamentals in algorithms and data structures.
  • Excellent problem‑solving skills and sound engineering judgment.
  • Ability to build and maintain production‑quality software.
  • Comfort working on ambiguous, open‑ended problems and turning them into defined solutions.
  • Advanced proficiency in English.

Required skills

  • Python programming.
  • Algorithm design and data structures.
  • Graph algorithms and network analysis (nice to have).
  • Information retrieval (nice to have).
  • Optimization techniques (nice to have).
  • Applied machine learning (nice to have).
  • Probabilistic inference (nice to have).
  • Large‑scale data mining (nice to have).

What we offer

  • 100% remote work from anywhere.
  • Competitive compensation in USD or local currency.
  • Flexible working hours.
  • Paid parental leave, vacation, and national holidays.
  • Innovative, multicultural environment with top global talent.
  • Mentorship, promotions, skill development, and diverse growth opportunities.

Questions fréquentes

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Published 6 hours ago

Expires 1 month from now

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