Remote Contract Data Scientist: Competitive ML & Evaluation

Crossing Hurdles; Turkey; Remote; TRY 4,090,000 - 8,180,000; Full time

Job summary

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.

Responsibilities include developing tests and evaluation criteria to reliably distinguish correct solutions, running coding agents, investigating failures, and refining tasks based on observed behavior. This role also involves identifying errors and documenting verification steps, with strong programming

Qualifications

• Demonstrated experience in data science, ML, or relevant competitions.
• Strong problem-solving and clear understanding of used methods.
• Practical programming ability to implement and verify solutions.
• Experience on major competition platforms (Kaggle, DrivenData, Zindi, AIcrowd, Numerai, Codabench).

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

Problem solving

Programming (Python)

Tools

Kaggle

DrivenData

Zindi

AIcrowd

Numerai

DataSource.ai

Codabench

Job description

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.

Responsibilities include developing tests and evaluation criteria to reliably distinguish correct solutions, running coding agents, investigating failures, and refining tasks based on observed behavior. This role also involves identifying errors and documenting verification steps, with strong programming