WorkNow
Mercor logo

Data Scientist Talent Network

Mercor
External
remote
contract
$100 – $150/hr

Posted 1 hour ago

You'll apply on the company's website.

About the Role

This initiative creates a specialized pool of experienced data scientists for potential upcoming collaborations with leading artificial intelligence research institutions. The primary objective involves measuring the performance of current AI systems regarding intricate, real-world data science functions. Although there are currently no active vacancies, this group acts as a recruitment resource for contacting suitable experts when pertinent roles emerge. As a member, you will perform a fundamental function by testing new technology via analytical assessment techniques. Your work will utilize your professional expertise to confirm that AI systems satisfy benchmarks for statistical precision and depth of analysis, helping to shape the evolution of sophisticated AI architectures.

Requirements

  • Minimum of 12 months of professional data science experience, preferably within reputable tech firms, research labs, or elite quantitative companies.
  • Advanced technical aptitude in SQL and Python.
  • Proven expertise in experimental design, such as causal inference, combined with skills in machine learning and statistical modeling.
  • Demonstrated capacity to transform complex, unrefined data into systematic and thorough analytical conclusions.
  • Exceptional written communication abilities to explain intricate technical results with clarity.
  • Strong focus on precision, dedication to maintaining uniform evaluation quality, and readiness to adopt structured feedback to adjust your assessment criteria.

Responsibilities

  • Develop specific, project-oriented metrics to grade diverse data science outputs, such as exploratory studies, machine learning workflows, statistical models, and advanced experimentation documentation.
  • Assess technical submissions—whether produced by people or automated systems—using these predefined evaluation frameworks.
  • Provide comprehensive, data-backed written explanations for every evaluation to guarantee the findings are justifiable and reproducible.
  • Integrate structured critique provided by lead reviewers and continuously improve your outputs to maintain superior quality across varying project requirements.

Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.

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