Applied Scientist - Remote

YO AI Labs; New York (NY); Remote; USD 96,000 - 165,000; Full time

Job summary

YO AI Labs is seeking an Applied Scientist for remote work to support an AI training project focused on statistics, modeling, experiments, and quantitative problem-solving. Prior AI experience is not required, but strong Python and ML skills are essential.

You will analyze data, build and test models, design experiments, and provide reproducible code along with clear analytical reports for stakeholders.

Qualifications

• At least one year of experience at a leading technology, finance, or research organization.
• Strong Python and machine learning expertise.
• Experience in statistics, experimentation, and data science.
• Excellent analytical, documentation, and communication skills.
• Advanced academic background or practical experience in data science, applied mathematics, or a related field.

Responsibilities

• Analyze complex datasets and generate actionable insights.
• Develop, test, and evaluate machine learning models.
• Design experiments and interpret results.
• Evaluate AI outputs for statistical accuracy and reasoning.
• Create expert-level prompts, datasets, and reference solutions.
• Identify methodological errors and provide structured feedback.
• Deliver reproducible code and clear analytical reports.

Skills

Python

Pandas

Scikit-learn

Applied Statistics

Experimental Design

Machine Learning

Data Modeling

Data Analysis

Quantitative Reasoning

Technical Documentation

Analytical Thinking

Communication

Job description

Applied Scientist

Role Type: Contractor
Location: Remote

Job Description

We are seeking experienced Applied Scientists to support an AI training project focused on statistical analysis, machine learning, experimentation, and quantitative problem-solving. Prior AI experience is not required.

Required Skills

• Python, Pandas, and Scikit-learn
• Applied Statistics and Experimental Design
• Machine Learning and Data Modeling
• Data Analysis and Transformation
• Quantitative Reasoning
• Technical Documentation
• Analytical Thinking and Communication

Responsibilities

• Analyze complex datasets and generate actionable insights.
• Develop, test, and evaluate machine learning models.
• Design experiments and interpret results.
• Evaluate AI outputs for statistical accuracy and reasoning.
• Create expert-level prompts, datasets, and reference solutions.
• Identify methodological errors and provide structured feedback.
• Deliver reproducible code and clear analytical reports.

Qualifications

• At least one year of experience at a leading technology, finance, or research organization.
• Strong Python and machine learning expertise.
• Experience in statistics, experimentation, and data science.
• Excellent analytical, documentation, and communication skills.
• Advanced academic background or practical experience in data science, applied mathematics, or a related field.