الوصف الوظيفي
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.
With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background.
You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.
Responsibilities: Quantitative Problem Design and Solutioning: Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python.
Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.
Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.
Quality Assurance & Collaboration: Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions.
Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.
Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 12 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Selection process: Profile Review and Job Questionnarie PhD or PhD Candidates in Computational Mathematics Has published at least 1 peer-reviewed paper Advanced proficiency in Python programming for scientific coding Excellent analytical, logical thinking, and problem-solving skills Strong written and verbal communication skills for clear documentation and collaboration
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
