Lead Data Science Scientist

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<strong>About The Job<br><br></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br><br><strong>Position:</strong> Data Scientist<br><br><strong>Type:</strong> <strong>Hourly contractor<br><br></strong><strong>Compensation:</strong> <strong>$14/hour<br><br></strong><strong>Location:</strong> <strong>Remote<br><br></strong><strong>Commitment:</strong> <strong>20–40 hours/week<br><br></strong><strong>Role Responsibilities<br><br></strong><ul><li>Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.</li><li>Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.</li><li>Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.</li><li>Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.</li><li>Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.</li><li>Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Must-Have<br><br></strong><ul><li>Strong background in data science, machine learning, or applied statistics.</li><li>Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.</li><li>Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).</li><li>Experience with large-scale data systems (Snowflake, BigQuery, or similar).</li><li>Ability to collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.<br><br></li></ul><strong>Preferred<br><br></strong><ul><li>Interest in AI agents and how data can shape their reasoning, adaptability, and behavior.</li><li>Enjoy collaborating with cross-functional teams to define meaningful KPIs and experiment setups.<br><br></li></ul><strong>Compensation & Legal<br><br></strong><ul><li>Hourly contractor to Mercor.</li><li>Paid weekly via Stripe Connect, based on hours logged.</li><li>Weekly bonus of $500 - $1000 USD per 5 tasks created.<br><br></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br><br></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br><br></li></ul><strong>Resources & Support<br><br></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>For any help or support, reach out to: support@mercor.com<br><br></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br></em>,<br><br>

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