Contest-Driven Data Scientist for ML Challenges

Great Value Hiring; United States; On-site; USD 83,000 - 165,000; Full time

Job summary

Great Value Hiring is seeking a Competitive Data Scientist in the United States to design and evaluate AI tasks for judging solutions. The role focuses on creating reproducible environments, preparing data and dependencies, and implementing reference solutions to benchmark progress.

You will develop robust tests and evaluation criteria, run coding agents against tasks, analyze failures, and document requirements, reasoning, and verification steps to ensure fairness and transparency in

Qualifications

• Demonstrated experience in data science, ML, quantitative modeling.
• Strong problem-solving ability and a clear understanding of the methods you use.
• Practical programming ability sufficient to implement and verify your own solutions.

Responsibilities

• Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
• Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
• Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
• Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
• Document task requirements, solution reasoning, and verification steps clearly.

Skills

Data science

Machine learning

Quantitative modeling

Programming

Python

Job description

Great Value Hiring is seeking a Competitive Data Scientist in the United States to design and evaluate AI tasks for judging solutions. The role focuses on creating reproducible environments, preparing data and dependencies, and implementing reference solutions to benchmark progress.

You will develop robust tests and evaluation criteria, run coding agents against tasks, analyze failures, and document requirements, reasoning, and verification steps to ensure fairness and transparency in