Applied Scientist

Applied Scientist [$245 - $280/hour] Scope of Work

• Design and execute statistical analyses to uncover actionable insights from complex datasets
• Develop and validate machine learning models for various business or research objectives
• Apply data modeling techniques and manage large-scale data transformations using Python and Pandas
• Collaborate with stakeholders to define experimentation frameworks and analyze outcomes
• Document methodology, findings, and recommendations with a focus on clarity and precision
• Review peer contributions and provide high-quality feedback to support knowledge sharing
• Deliver reproducible code and well-organized analytical reports as part of the project deliverables
• Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems
• Create expert-level prompts, datasets, and reference solutions
• Identify flawed methodology, statistical errors, and weak quantitative reasoning
• Provide clear, structured feedback that improves model capability

Preferred Qualifications

• At least one year at a top company (tech, finance, or research)
• Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn)
• Demonstrated experience in applied statistics, experimental design, and machine learning
• Proven ability to develop, tune, and evaluate machine learning models in practical settings
• Strong data modeling skills and experience managing structured and unstructured data
• Excellent written and verbal communication skills, with a passion for clear technical documentation
• Experience collaborating on open or cross-functional data science projects is a plus
• Advanced academic background or hands-on work in data science, applied mathematics, or related fields