Applied Scientist - Remote
TypeContract
LocationUnited States
Posted1 hour ago
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas
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