Data Scientist

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models.

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Role Responsibilities (Training support will be provided)

• Evaluate AI-generated data analysis for quality, accuracy, and relevance.
• Conduct statistical analysis and modelling for both specific and open-ended prompts.
• Design prompts and create detailed rubrics for reward modelling and evaluation.
• Produce gold-standard responses, including data visualisations, explanatory notes, and executable Python code.
• Translate data science reasoning, decision-making, and expertise into gradable criteria for AI agents.

Requirements

• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, or equivalent, OR 2+ years of relevant industry experience.
• Proficiency in Python data science libraries (e.g., pandas, numpy, scikit-learn).
• Strong understanding of data analysis techniques, statistical modelling, and machine learning principles.
• Ability to identify patterns and trends in complex datasets and communicate insights clearly.
• Excellent analytical and data-driven writing skills.

P.S.