Junior Data Scientist

Upcoming Tasking

• Develop evaluation methodologies and experimental designs for assessing model and agent performance, including capability, reliability, and limitation analyses.
• Conduct reviews of current state-of-the-art AI/ML evaluation methods and emerging techniques to inform approach selection.
• Define and document evaluation criteria, success metrics, and assessment rationale in partnership with the Data Scientists.
• Assess candidate models and agentic systems and produce written technical findings and recommendations.
• Author technical reports, evaluation plans, and decision-support documentation for stakeholders.

Six years' experience and a Bachelor’s degree in Engineering, Computer Science or other Science, Technology, Engineering or Mathematics (STEM) field or four years' experience and a Master's degree or zero years' experience and a PhD.

• Python
• Jupyter notebooks
• Scientific computing libraries
• Machine learning / AI evaluation methods
• Experiment design
• Literature review tools
• Statistical analysis
• Technical writing
• Version control, such as Git
• Collaboration tools such as Jira or Confluence
• Operate effectively in an airgapped/constrained environment