Data Scientist | Remote

Crossing Hurdles; La Réunion; Remoto; EUR 74.000 - 148.000; Part-time

Descrizione del lavoro

Crossing Hurdles is seeking a Competitive Data Scientist for a remote contract role. You will build reproducible environments, prepare data and dependencies, and implement reference solutions for evaluation tasks.

Responsibilities include developing tests and evaluation criteria to reliably distinguish correct solutions, running coding agents, refining tasks, and documenting requirements and verification steps. Commitment is 10–40 hours per week with pay ranging from $60 to $120 per hour.

Competenze

• Demonstrated experience in data science, ML, quantitative modeling or competitions.
• Strong problem-solving and clear understanding of methods used.
• Practical programming ability to implement and verify your own solutions.
• Experience with competitive platforms such as Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai and Codabench.

Mansioni

• 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.

Conoscenze

Data science

ML

Quant modeling

Programming

Competition platforms

Strumenti

Kaggle

DrivenData

Zindi

AIcrowd

Numerai

DataSource.ai

Codabench

Descrizione del lavoro

• 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.

Position: Competitive Data Scientist

Type: Contract

Compensation: $60 $120/hour

Location: Remote

Commitment: 10-40 hrs/week

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.

Requirements

• Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions.
• 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.