Data Science, Machine Learning Specialist – Kaggle Expert

This is a fully remote position, open to applicants in United States, +4 more countries.

📋 Description

• Create challenging data science and machine learning tasks inspired by real-world challenges and competitive data science contexts.

• Establish reproducible execution environments, prepare datasets, set up dependencies, and implement validated reference solutions.

• Develop automated testing and evaluation criteria to differentiate correct solutions from incomplete, incorrect, or unreliable methods.

• Utilize coding agents to perform assigned tasks, analyze failures, and assess problem-solving capabilities.

• Detect implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other factors impacting solution correctness.

• Employ competitive data science techniques and mathematical reasoning to verify solutions.

• Ensure tasks have well-defined requirements, dependable expected outputs, and reproducible verification processes.

• Adjust task difficulty and evaluation strategies based on the performance of coding agents.

• Document task specifications, solution strategies, technical reasoning, and verification procedures.

• Review and enhance task quality to guarantee scientific and computational precision.

⛳️ Requirements

• Proven experience in competitive data science, machine learning, quantitative modeling, or applied mathematics.

• Kaggle profile with at least an Expert ranking; Master or Grandmaster ranking is highly valued.

• Verifiable Kaggle profile showcasing competition achievements and ranking.

• Strong grasp of machine learning, statistical modeling, data analysis, and quantitative problem-solving.

• Practical programming skills, especially in Python.

• Capacity to independently implement, test, debug, and verify data science solutions.

• Experience with datasets, computational environments, and relevant machine learning libraries.

• Strong analytical reasoning and the ability to articulate technical decisions.

• Capability to identify data leakage, implementation issues, and methodological errors.

• Excellent written communication and technical documentation abilities.

• Proficient English communication skills.

🏝️ Benefits

• Flexible schedule; select working days and hours, including weekends.

• Approximately 15 hours per week.