Data
Competitive Data Scientist
- Posted
- Location
- Global
- Openings
- 50
Role Title: Competitive Data Scientist
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
Skills
- Mathematics
- Data Science
- ML Engineering
- Coding
This role at a glance
At $60–$120/hr, the Competitive Data Scientist role comes to about $5,200–$10,400 a month for 20 hours a week, or $10,400–$20,800 a month full time — roughly $125,000–$250,000 over a full year. These are estimates before tax; contract roles are paid for the hours you work. It was posted 3 days ago. Data roles listed on RemoteJobsOne have stayed open a median of 29 days before closing, counted over the 20 that have closed so far. 10 people applied to this role through RemoteJobsOne in the last 30 days.
20 hours a week
$5,200–$10,400
a month, before tax
Full time
$10,400–$20,800
a month at 40 hours a week
A full year
$125,000–$250,000
full time, 52 weeks
Open for
3 days
Data roles here close after about 29 days, counted over 20 that have closed. Apply while it is open.
How this pay compares
This role pays $60–$120/hr. Across the 10 hourly data roles open on RemoteJobsOne right now, the median runs from $55 to $80 an hour, and published rates range from $30 to $350. Its top rate of $120 sits above the category's median ceiling.
This role
$60–$120/hr
Data median
$55–$80/hr · full spread $30 to $350
Questions about this role
How much does the Competitive Data Scientist role pay?
It pays $60–$120/hr, which is about $10,400–$20,800 a month full time before tax. The rate is set by the employer and shown exactly as published.
Compare pay across remote rolesIs this Competitive Data Scientist job fully remote?
Yes. It is listed as a fully remote role, with the posting naming Global. You work from home, on your own equipment.
Is it full-time, part-time or contract work?
The employer has not said.
What skills does the Competitive Data Scientist role ask for?
The posting asks for Mathematics, Data Science, ML Engineering and Coding. Naming them clearly in your application helps.
How do I apply for Competitive Data Scientist?
Press Apply on this page and enter your name and email. We email you your personal application link straight away, and you can continue at once to the employer's hiring platform to finish. Most roles there ask for a short AI interview afterwards — voice or video, in your browser. Then watch your email: the next steps arrive there.
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