Description review
Data Scientist (Kaggle/DrivenData) (Remote-Worldwide)
Your Software Supplier · Amsterdam · back to the listing
HR standards
58/100
needs work
Title ↔ description
52/100
needs work
Reads as
Unclear
no confident match
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
- Amplify Renewables | Quantitative Researcher | SF / Seattle / US | Hybrid (Remote Possible) | Full-Time | $200k - $375k (all cash) Amplify Renewables
- Senior Data Scientist BoldVoice
- Senior Research Neuroscientist ANORIA
- Quantitative Associate Corgi Insurance
- Senior Data Scientist Coulomb AI
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Find Jobs in Netherlands on Arbeitnow
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.
Find Jobs in Netherlands on Arbeitnow