Description review
Data Scientist
micro1 · Remote · back to the listing
HR standards
56/100
needs work
Title ↔ description
63/100
needs work
Reads as
Data Scientist
92% confident
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
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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Role Title: Data Scientist
Role Type: Contractor
Location: Remote
About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
• Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
• Create expert-level prompts, datasets, and reference solutions
• Identify flawed methodology, statistical errors, and weak quantitative reasoning
• Provide structured feedback that improves model capability
Preferred Qualifications
• 1+ year as a data scientist or quant at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
• Undergraduate degree from a well-known university in an English-speaking country
• Based in an English-speaking country
• Clear written communication of technical and statistical concepts
Originally posted on Himalayas
Role Type: Contractor
Location: Remote
About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
• Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
• Create expert-level prompts, datasets, and reference solutions
• Identify flawed methodology, statistical errors, and weak quantitative reasoning
• Provide structured feedback that improves model capability
Preferred Qualifications
• 1+ year as a data scientist or quant at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
• Undergraduate degree from a well-known university in an English-speaking country
• Based in an English-speaking country
• Clear written communication of technical and statistical concepts
Originally posted on Himalayas