ML Research Scientist (Remote | $245-$280/hr)

Job Description

Applied Scientist (Remote | $245–$280/hr)

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Position: Applied Scientist

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Type: Contractor

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Compensation: $245–$280 per hour

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Location: Remote

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About the Opportunity

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An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required.

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Key Responsibilities

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• Design and execute statistical analyses to uncover insights from complex datasets.
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• Develop, validate, and evaluate machine learning models for business and research objectives.
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• Apply data modeling techniques and manage data transformations using Python and Pandas.
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• Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes.
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• Document methodologies, findings, and recommendations clearly and accurately.
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• Review peer contributions and provide constructive technical feedback.
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• Deliver reproducible code and organized analytical reports.
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• Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning.
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• Create expert-level prompts, datasets, and reference solutions.
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• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
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• Provide structured feedback to improve AI model performance.
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Required Qualifications

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• Strong proficiency in Python and data analysis.
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• Knowledge of machine learning, statistics, experimentation, and data modeling.
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• Experience with Pandas and related data science tools.
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• Strong analytical, problem-solving, and quantitative reasoning skills.
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• Excellent written and verbal communication skills.
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Preferred Qualifications

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• At least one year of experience at a leading company in technology, finance, or research.
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• Proficiency with Python libraries such as Pandas and scikit-learn.
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• Demonstrated experience in applied statistics, experimental design, and machine learning.
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• Experience developing, tuning, and evaluating machine learning models.
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• Ability to work with structured and unstructured data.
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• Experience collaborating on cross-functional or open data science projects.
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• Advanced academic background or practical experience in data science, applied mathematics, or a related field.
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Compensation

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• Hourly compensation of $245–$280.
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• Remote, contractor-based engagement.
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Application Process

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The application process was not specified in the provided listing.

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