Data Science, Machine Learning Specialist – Kaggle Expert

🔥 0 minutes ago

🌐 United States, Canada, +3 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote 🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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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 challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios • Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions • Develop automated tests and evaluation criteria distinguishing correct solutions from incomplete, incorrect, or unreliable approaches • Use coding agents to execute assigned tasks, investigate failures, and evaluate problem-solving capabilities • Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness • Apply competitive data science techniques and mathematical reasoning to validate solutions • Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures • Refine task difficulty and evaluation methods based on coding-agent performance • Document task specifications, solution methodologies, technical reasoning, and verification steps • Review and improve task quality to ensure scientific and computational accuracy

🎯 Requirements

• Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics • Kaggle profile with at least Expert ranking; Master or Grandmaster ranking strongly valued • Verifiable Kaggle profile demonstrating competition achievements and ranking • Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving • Practical programming ability, particularly in Python • Ability to independently implement, test, debug, and verify data science solutions • Experience working with datasets, computational environments, and relevant machine learning libraries • Strong analytical reasoning and ability to explain technical decisions • Ability to identify data leakage, implementation flaws, and methodological errors • Excellent written communication and technical documentation skills • Professional English communication skills

🏖️ Benefits

• Flexible schedule; choose working days and hours, including weekends • Approximately 15 hours per week

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