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Open nowPosted 37 hours ago

Competitive Data Scientist

EVB8 open roles

Where
Remote, OTHER
Work mode
Remote
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Your applicationOpen nowCompetitive Data ScientistEVB · Remote, OTHER

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EVB's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. EVB postings stay open a median of 7 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 37 hours ago

EVB median: 7 days open

The posting

Job Description

  • 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

  1. Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
  2. Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
  3. Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
  4. Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
  5. Document task requirements, solution reasoning, and verification steps clearly.

What We’re Looking For

  1. Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
  2. Strong problem-solving ability and a clear understanding of the methods you use.
  3. 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

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

Additional Information

A very attractive and competitive package is offered.

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EVB's form

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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