{"html":"<p>Role Title: Applied Scientist</p><p>Role Type: Contractor</p><p>Location: Remote</p><p>micro1 is engaging Applied Scientists to contribute to a customer's data-driven project, focusing on advanced analytics and experimentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters. This opportunity is part of an open Data Scientist project, with a strong emphasis on clear written and verbal communication.</p><p>Scope of Work</p><ul><li>Design and execute statistical analyses to uncover actionable insights from complex datasets.</li><li>Develop and validate machine learning models for various business or research objectives.</li><li>Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.</li><li>Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.</li><li>Document methodology, findings, and recommendations with a focus on clarity and precision.</li><li>Review peer contributions and provide high-quality feedback to support knowledge sharing.</li><li>Deliver reproducible code and well-organized analytical reports as part of the project deliverables.</li><li>Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.</li><li>Create expert-level prompts, datasets, and reference solutions.</li><li>Identify flawed methodology, statistical errors, and weak quantitative reasoning.</li><li>Provide clear, structured feedback that improves model capability.</li></ul><p>Preferred Qualifications</p><ul><li>At least one year at a top company (tech, finance, or research).</li><li>Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).</li><li>Demonstrated experience in applied statistics, experimental design, and machine learning.</li><li>Proven ability to develop, tune, and evaluate machine learning models in practical settings.</li><li>Strong data modeling skills and experience managing structured and unstructured data.</li><li>Excellent written and verbal communication skills, with a passion for clear technical documentation.</li><li>Experience collaborating on open or cross-functional data science projects is a plus.</li><li>Advanced academic background or hands-on work in data science, applied mathematics, or related fields.</li></ul>"}