Competitive Data Science & Machine Learning Specialist
New
G
Gramian ConsultancyAI training
Remote – US, Canada, Australia, New Zealand, UKContract
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Professional English communication skills.
- Required Skills
- PythonData AnalysisMachine Learning
Requirements
- Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics.
- At least Kaggle Expert ranking; Master or Grandmaster ranking is strongly valued.
- Provide a 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.
Responsibilities
- Design challenging data science and machine learning tasks inspired by real-world problems and competition scenarios.
- Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions.
- Develop automated tests and evaluation criteria for assessing solution correctness and reliability.
- Use coding agents to execute assigned tasks, investigate failures, and evaluate their problem-solving capabilities.
- Identify implementation errors, flawed assumptions, data leakage, and statistical inconsistencies.
- 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 observed coding-agent performance.
- Document task specifications, solution methodologies, technical reasoning, and verification steps.
- Review and improve task quality for scientific and computational accuracy.
View Full Description & ApplyYou'll be redirected to the employer's site
