Mathematics and Computational Research Specialist, MSc/PhD

🔥 1 hour ago

🌐 Hungary, Italy, +2 more countries – Remote

🇭🇺 Hungary – Remote 🇮🇹 Italy – Remote 🇪🇸 Spain – Remote 🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔬 Research Analyst

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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

• Solve and validate advanced mathematical and computational problems across relevant mathematical disciplines • Translate mathematical requirements into precise, structured, and executable workflows • Implement mathematical equations, algorithms, and numerical procedures using Python and command-line-accessible tools • Automate calculations, numerical experiments, parameter sweeps, and result validation • Apply appropriate mathematical methods to optimization, modeling, statistical analysis, and numerical computation tasks • Test edge cases, verify assumptions, and assess the mathematical and numerical validity of solutions • Use scientific computing libraries and mathematical software to develop reproducible solutions • Review mathematical tasks and computational outputs for correctness, completeness, and clarity • Document methodologies, calculations, and results in a clear and reproducible manner

🎯 Requirements

• Completed MSc/PhD in math or a closely related quantitative field • Strong practical Python skills

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