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Competitive Data Scientist

$60–120/hr · micro1 · remote

Open to people living anywhere except 21 places, per micro1's own policy (checked 9 Oct 2026). This listing doesn't name countries itself.

The 21 places micro1 leaves out

Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russia, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, Ethiopia.

Check history

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13 Oct 2026Open50–Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the micro1 AI interview with Zara.

What the work is

Role Title: Competitive Data Scientist

Pay: $60–$120/hour

Schedule: Flexible-you choose the hours and days you work, including weekends if desired

We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.)

You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.

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.

Who gets hired

  • 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.

Huge Pluses

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

The platform posted this on 12 Oct 2026.

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