{"html":"<p><strong>Role Title:</strong> Competitive Data Scientist</p><p><strong>Pay:</strong> $60–$120/hour</p><p><strong>Location:</strong> Global, fully remote</p><p><strong>Job Type:</strong> Contractor (~15 hours per week)</p><p><strong>Schedule:</strong> Flexible-you choose the hours and days you work, including weekends if desired</p><p>We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.)</p><p>You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.</p><h4>What You’ll Do</h4><ul><li>Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.</li><li>Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.</li><li>Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.</li><li>Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.</li><li>Document task requirements, solution reasoning, and verification steps clearly.</li></ul><h4>What We’re Looking For</h4><ul><li>Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)</li><li>Strong problem-solving ability and a clear understanding of the methods you use.</li><li>Practical programming ability sufficient to implement and verify your own solutions.</li></ul><p>Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.</p><h4>Huge Pluses</h4><ul><li>Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code</li></ul>"}