Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Data Scientist to join their team. The role involves owning research and evaluation initiatives, designing machine learning-oriented data systems, and collaborating with cross-functional teams to translate research progress into clear narratives.

Responsibilities

• Own research and evaluation initiatives end-to-end, including problem framing, data design, quality calibration, and signal validation
• Design machine learning-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance
• Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement
• Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories
• Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance
• Partner with cross-functional teams to translate research progress into clear, credible narratives grounded in evidence

Skills

• Have strong judgment around research signal quality and when work is ready to be externalized
• Have experience designing machine learning-oriented datasets, evaluation frameworks, and quality assurance processes
• Possess the ability to translate messy, real-world system behavior into structured research and evaluation opportunities
• Be comfortable operating in ambiguity, with a bias toward ownership and decisive action
• Have clear written and verbal communication skills, especially when explaining tradeoffs and limitations to stakeholders

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