Data Scientist (Kaggle/DrivenData) (Remote-Worldwide)

Your Software Supplier Amsterdam

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Posted 25 Oct 2026

Last seen 25 Oct 2026

Location Amsterdam

Lifecycle fresh

Grade D

Why this grade This listing scored 50/100, which is a D. It lost the most ground on pay transparency. See the breakdown

Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
Corroboration 7 / 10 Whether more than one source carries this listing.
Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.

Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →

Description review

58/100 HR standards 52/100 Title ↔ description 61/100 Fit to the official role

Read the marked-up listing →

Remote Data Scientist

This job is with our partner Micro1.

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.

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25 Oct 2026 Arbeitnow first sighting

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