Competitive Data Scientist

Great Value Hiring; United States; Sur place; USD 83 000 - 165 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Data science

Machine learning

Quantitative modeling

Programming

Python

Description du poste

Competitive Data Scientist [$60 - $120/hour]

Role 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

Good Candidature

• Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
• Strong problem-solving ability and a clear understanding of the methods you use
• Practical programming ability sufficient to implement and verify your own solutions

Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.

Nice to Have

• Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code