Data Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Assess AI-generated outputs related to data science, statistics, machine learning, and quantitative challenges.

• Review analytical techniques, underlying assumptions, conclusions, numerical precision, logical coherence, and evidence utilization.

• Detect flawed methodologies, erroneous statistical reasoning, unsupported conclusions, overfitting, data leakage, bias, insufficient validation, and unsuitable metrics.

• Compare various analytical methods and articulate the relevant trade-offs involved.

• Develop expert-level prompts, datasets, scenarios, and reference solutions for comprehensive quantitative and analytical assessments.

• Clearly define assumptions, calculations, and methodologies.

• Ensure that reference materials are reproducible, technically sound, and suitably challenging.

• Evaluate experimental design, hypothesis testing, and the interpretation of outcomes.

• Review Python, pandas, data preprocessing, feature engineering, and data modeling processes.

• Identify deficiencies in experimental setups, measurements, or causal interpretations.

• Offer structured written feedback on errors, weaknesses, and areas for enhancement.

• Recognize recurring patterns of flawed reasoning and contribute evaluation resources to enhance AI model performance.

• Maintain uniform standards across various data science and quantitative activities.

⛳️ Requirements

• Minimum of 1 year of professional experience in data science, quantitative analysis, machine learning, or a related field.

• Experience in a top-tier or highly esteemed organization.

• A portion of relevant professional experience should have been acquired within the last 7 years.

• Strong expertise in Python programming.

• Solid grasp of statistics, experimentation, and quantitative analysis.

• Practical experience in machine learning and data modeling.

• Familiarity with pandas and contemporary data analysis workflows.

• Capability to identify methodological flaws and weak statistical reasoning.

• Excellent written communication skills with the ability to convey technical concepts clearly.

• An undergraduate degree from a highly reputable university is preferred.

• Preference for candidates located in English-speaking countries.

• Ability to work without relying on confidential or proprietary information from any employer, client, company, research organization, institution, or other third party.

🏝️ Benefits

• Fully remote working environment.

• Independent contractor engagement.

• Opportunities for remote consulting work.

• Flexible and project-based assignments.

• Chance to contribute to cutting-edge AI training and quantitative reasoning projects.