Computer Scientist – Remote (Algorithmic Solutions)

About the role

In this role you will tackle some of the hardest algorithmic problems in computer science, focusing on inference, ranking, matching, classification and optimization over massive datasets. The position is dedicated to formulating complex computational challenges and designing scalable algorithmic solutions that can be validated and deployed in production.

Key responsibilities

• Design and implement algorithms for inference, ranking, matching, classification and prediction problems.
• Create scalable heuristics that operate on datasets containing hundreds of millions of records.
• Analyze computational complexity and optimise 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 productionise 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 judgement.
• Demonstrated ability to build and maintain production‑quality software.
• Advanced proficiency in English.

Required skills

• Python programming.
• Graph algorithms and network analysis.
• Information retrieval techniques.
• Optimization methods.
• Applied machine learning.
• Probabilistic inference.
• Large‑scale data mining.

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 global top‑1 % talent.
• Mentorship, promotions, skill development and diverse growth opportunities.