Description review
Data Science Expert - Fully Remote | Upto $170/hr
mercor · United Kingdom · back to the listing
HR standards
79/100
solid
Title ↔ description
53/100
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
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Science Expert
Type:Contract
Compensation:$120–$170/hour
Location:Remote
Role Responsibilities
• Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts.
• Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Collaborate with AI research teams to improve training data quality and downstream performance.
Qualifications
Must-Have
• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top-tier technology companies.
• Deep fluency in experiment design, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
• Exceptionally strong written communication.
• Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
Preferred
• Prior experience with AI training, evaluation, or human-data projects.
Application Process (Takes 20–30 mins to complete)
• Submit your resume or relevant technical background to get started.
• Qualified applicants may be asked to complete a brief technical assessment or submit additional information.
Resources & Support
• For details about the interview process and platform information, please check:
• For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Science Expert
Type:Contract
Compensation:$120–$170/hour
Location:Remote
Role Responsibilities
• Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts.
• Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Collaborate with AI research teams to improve training data quality and downstream performance.
Qualifications
Must-Have
• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top-tier technology companies.
• Deep fluency in experiment design, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
• Exceptionally strong written communication.
• Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
Preferred
• Prior experience with AI training, evaluation, or human-data projects.
Application Process (Takes 20–30 mins to complete)
• Submit your resume or relevant technical background to get started.
• Qualified applicants may be asked to complete a brief technical assessment or submit additional information.
Resources & Support
• For details about the interview process and platform information, please check:
• For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas