Data Scientist (Kaggle/DrivenData) (Remote-Worldwide)

Your Software Supplier; EUA; Teletrabalho; USD 70 000 - 120 000; Tempo integral

Resumo da oferta

Micro1 is seeking a data science professional to build reproducible environments, prepare data and dependencies, and implement reference solutions.

You will develop tests and evaluation criteria to reliably distinguish correct solutions from incomplete approaches, run coding agents against tasks, and refine tasks based on observed behavior. Strong problem-solving and practical programming ability are essential.

Qualificações

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

Responsabilidades

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

Conhecimentos

Data science

ML

Quantitative modeling

Programming

Ferramentas

Kaggle

DrivenData

Zindi

AIcrowd

Numerai

DataSource.ai

Codabench/CodaLab

Descrição da oferta de emprego

This job is with our partner Micro1.

What You’ll Do

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.

What We’re Looking For

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.