Applied Mathematics, Scientific Computing Specialist

Job not on LinkedIn

🔥 3 minutes ago

🌐 Bangladesh, India, +4 more countries – Remote

🇧🇩 Bangladesh – Remote 🇮🇳 India – Remote 🇮🇩 Indonesia – Remote 🇪🇬 Egypt – Remote 🇬🇭 Ghana – Remote 🇳🇬 Nigeria – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Design authentic, multi-step computational mathematics tasks based on real-world research and mathematical workflows. • Translate mathematical problems into self-contained, reproducible terminal environments. • Prepare datasets, equations, model definitions, constraints, initial conditions, and expected outputs. • Implement expert reference solutions using Python, R, Julia, C/C++, Bash, or other relevant tools. • Develop tasks involving optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, and algorithm analysis. • Define rigorous grading criteria covering numerical accuracy, convergence, complexity, feasibility, and mathematical correctness. • Establish appropriate numerical tolerances, stopping criteria, stability requirements, and reproducibility controls. • Develop automated tests that validate results across edge cases and alternative valid implementations. • Debug issues involving floating-point precision, solver failures, conditioning, convergence, and performance. • Document mathematical formulations, assumptions, expected outputs, and known limitations.

🎯 Requirements

• Advanced academic or professional expertise in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, or a closely related quantitative discipline. • Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant scientific programming language. • Hands-on experience with numerical analysis, optimization, statistics, mathematical modeling, or computational mathematics. • Experience implementing and validating mathematical algorithms or computational models. • Ability to work independently in Linux or terminal-based environments. • Strong understanding of numerical precision, convergence, stability, and mathematical correctness. • Experience developing, debugging, and validating reproducible computational workflows.