Description review
Applied Mathematics Specialist - Fully Remote | Upto $90/hr
mercor · United States · back to the listing
HR standards
78/100
solid
Title ↔ description
55/100
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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What the listing never says
- 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- 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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type:Contract
Compensation:$70–$90/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
• Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
• Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
• Develop problems requiring strategic planning for information discovery and efficient problem-solving.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Work independently and asynchronously to refine problem designs based on feedback.
Qualifications
Must-Have
• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized software package through research publications or professional work.
• Strong Python skills for writing problem setups and solution validators.
• Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.
Preferred
• Experience across multiple computational domains or specialized software packages.
• Familiarity with benchmark or evaluation design.
• Background in scientific teaching or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type:Contract
Compensation:$70–$90/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
• Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
• Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
• Develop problems requiring strategic planning for information discovery and efficient problem-solving.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Work independently and asynchronously to refine problem designs based on feedback.
Qualifications
Must-Have
• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized software package through research publications or professional work.
• Strong Python skills for writing problem setups and solution validators.
• Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.
Preferred
• Experience across multiple computational domains or specialized software packages.
• Familiarity with benchmark or evaluation design.
• Background in scientific teaching or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
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