Type: Contract

Location: Remote

Commitment: Part-time, flexible, task-based

Role Responsibilities

• Build reproducible environments, prepare data and implement reference solutions.
• Develop tests and evaluation criteria that separate correct solutions from flawed ones.
• Run coding agents against tasks, investigate failures and refine the tasks.
• Document task requirements, solution reasoning and verification steps.

Requirements

• Demonstrated experience in data science, ML, quantitative modeling or relevant research competitions (Kaggle, DrivenData and similar).
• Strong problem-solving ability and a clear understanding of the methods you use.
• Practical programming ability to implement and verify your own solutions.
• Strong Python coding experience, including testing and debugging, is a big plus.

• Build reproducible environments, prepare data and implement reference solutions.
• Develop tests and evaluation criteria that separate correct solutions from flawed ones.
• Run coding agents against tasks, investigate failures and refine the tasks.
• Document task requirements, solution reasoning and verification steps.

• Data science
• Machine learning
• Quantitative modeling
• Problem-solving
• Practical programming
• Python coding
• Testing
• Debugging

• Demonstrated experience in data science, ML, quantitative modeling or relevant research competitions (Kaggle, DrivenData and similar).
• Strong problem-solving ability and a clear understanding of the methods you use.
• Practical programming ability to implement and verify your own solutions.
• Strong Python coding experience, including testing and debugging, is a big plus.