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Competitive Data Scientist (Kaggle)

We are looking for Competitive Data Scientist (Kaggle) candidates for a project delivered through the hiring partner.

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 you need

  • 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.

Nice to have

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

Expertise

Who you work with

Project and contracting process: the hiring partner. Applications continue on the provider's website.

Pay and hours

This role pays $60–$120/hr, for 15 h/week. The work is remote. That is about 96% above the $46 an hour median for AI & data roles open now.

Median pay for AI & data roles: $46/hr

Who can apply from where

The provider lists this role as open worldwide. With a profile, Tier1 checks your country and languages against this role and every other before you apply.

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$60–$120/hr

Worldwide