Competitive Data Scientist (Kaggle)
micro1Legit · not rated yetPosted 14 days ago
Pay: $60–120/hr
- Who can apply
- Countries not stated in the listing
- Hours
- 15 hrs/week · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 50 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $60–120/hr for 15 hours a week. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 80% of the 204 other science (PhD) jobs on the board that state pay; 15% pay more.
- This job
- $90/hrMiddle of $60–120/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- ML Engineering
- Data Science
- Mathematics
- Coding
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Role Title: Competitive Data Scientist (Kaggle)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
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.
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.
Huge Pluses
• Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- (14 days ago)
- Last checked
- Source
- micro1
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