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Open nowFirst seen 4 days ago

Remote | Data Scientist — $245–$280/hour

24-MAG343 open roles

Pay
$245 – $280 an hour
Where
New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote | Data Scientist — $245–$280/hour24-MAG · New York, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

24-MAG median: 1 days open

The posting

We are sharing a specialised consulting opportunity for experienced Data Scientists and quantitative professionals with strong expertise in Python, machine learning, statistics, experimentation, data analysis, and data modelling to contribute to an advanced AI training and quantitative reasoning project.

Selected professionals will evaluate how advanced AI systems approach statistical, machine learning, and quantitative problems, create rigorous prompts and reference solutions, and identify methodological or analytical weaknesses in model outputs. The work requires strong quantitative judgement, careful statistical reasoning, and the ability to explain technical concepts clearly in writing.

Key Responsibilities

Data Science & Statistical Evaluation

  • Evaluate AI-generated responses to data science, statistics, machine learning, and quantitative problems
  • Assess whether analytical methods, assumptions, and conclusions are technically sound
  • Identify flawed methodology, incorrect statistical reasoning, and unsupported interpretations
  • Review model outputs for numerical accuracy, logical consistency, and appropriate use of evidence
  • Apply professional data-science judgement across complex analytical scenarios

Machine Learning & Quantitative Reasoning

  • Assess AI reasoning involving machine learning models, statistical methods, and predictive analysis
  • Evaluate whether modelling choices are appropriate for the data and problem context
  • Identify issues involving overfitting, leakage, bias, weak validation, or inappropriate metrics
  • Compare alternative analytical approaches and explain relevant trade-offs
  • Determine whether conclusions are adequately supported by quantitative evidence

Prompt, Dataset & Reference Solution Development

  • Create expert-level prompts that test advanced quantitative and analytical capability
  • Develop datasets and scenarios suitable for rigorous model evaluation
  • Produce high-quality reference solutions grounded in sound statistical and data-science practice
  • Define assumptions, calculations, and methodology clearly
  • Ensure reference materials are reproducible, technically defensible, and appropriately challenging

Experimentation & Data Analysis

  • Evaluate experiment design, hypothesis testing, and interpretation of results
  • Review analytical workflows involving Python, pandas, and related data-science tools
  • Assess data preprocessing, feature construction, and data-modelling approaches
  • Identify weaknesses in experimental setup, measurement, or causal interpretation
  • Apply strong quantitative reasoning when reviewing ambiguous or incomplete data scenarios

Expert Feedback & Model Improvement

  • Provide structured feedback on errors, weaknesses, and opportunities for improvement
  • Explain statistical and technical issues in clear written language
  • Identify recurring patterns of flawed reasoning across model outputs
  • Contribute high-quality evaluation material that improves model capability
  • Maintain consistent standards across diverse data-science and quantitative tasks

Ideal Profile

  • At least 1 year of professional experience working in data science, quantitative analysis, machine learning, or a closely related role at a top-tier or highly regarded organisation
  • Relevant experience may come from technology, finance, research, or comparable quantitative environments
  • At least part of the relevant professional experience should have been gained within approximately the past 7 years
  • Strong proficiency in Python
  • Strong knowledge of statistics, experimentation, and quantitative analysis
  • Practical experience with machine learning and data modelling
  • Familiarity with pandas and modern data-analysis workflows
  • Strong ability to identify methodological errors and weak statistical reasoning
  • Excellent written communication and ability to explain technical concepts clearly
  • Undergraduate degree from a highly ranked university is preferred
  • Candidates based in English-speaking countries are preferred

Engagement Details

  • Independent contractor engagement
  • Fully remote
  • Compensation: $245–$280/hour
  • Work will involve data-science evaluation, statistical reasoning, machine learning, experimentation, prompt development, dataset creation, and reference-solution development
  • Strong quantitative expertise and clear technical communication are central to this engagement
  • Assignments may involve Python, statistics, data analysis, experimentation, machine learning, and data modelling
  • Project scope, workload, analytical focus, and evaluation standards may evolve depending on project requirements
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, company, research organisation, institution, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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