Machine Learning Researcher

About the Opportunity

• Seeking skilled Applied Scientists to contribute to a data-driven project focused on advanced analytics, statistical analysis, and experimentation.
• Apply expertise in Python, machine learning, and applied statistics to train and evaluate next-generation AI systems.
• Work to improve how AI models learn, reason, and perform by providing high-quality, real-world expertise.
• Emphasizes quantitative problem-solving, experimentation, and clear technical communication.
• Prior AI experience is not required; relevant domain expertise is what matters.

Key Responsibilities

• Design and conduct statistical analyses to uncover actionable insights from complex datasets.
• Develop, validate, tune, and evaluate machine learning models for business and research objectives.
• Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.
• Collaborate with stakeholders to establish experimentation frameworks and analyze results.
• Document methodologies, findings, and recommendations through clear, precise analytical reports.
• Review peer contributions and provide constructive, high-quality feedback.
• Deliver reproducible code and well-organized analytical reports.
• Evaluate AI-generated outputs involving statistics, machine learning, experimentation, and quantitative reasoning.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Provide structured feedback to improve AI model performance and capabilities.

Requirements & Tech Stack

• Proficiency in Python for data analysis, statistical computing, and machine learning.
• Experience with Pandas and familiarity with machine learning libraries such as scikit-learn.
• Demonstrated knowledge of applied statistics, experimental design, and machine learning.
• Experience developing, tuning, and evaluating machine learning models in practical settings.
• Strong data modeling skills and experience working with structured and unstructured data.
• Excellent written and verbal communication skills.
• Ability to produce reproducible code, precise technical documentation, and clear analytical reports.

Preferred Qualifications

• At least one year of experience at a leading company in technology, finance, or research.
• An advanced academic background or hands-on experience in data science, applied mathematics, statistics, or a related field.
• Experience collaborating on open or cross-functional data science projects.
• Strong analytical judgment and the ability to assess complex quantitative problems.

Compensation & Engagement

• Compensation: $245–$280 per hour.
• Engagement Type: Contractor.
• Work Arrangement: Fully remote.
• Project Focus: Applied science, advanced analytics, machine learning, statistical analysis, and experimentation.