Role overview
- Expected commitment: 10+ hours/week.
- Exposure to high-impact AI research and applied experimentation.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
What you'll work on
- Analyze large datasets to extract insights that inform model design and refinement.
- Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
- Conduct performance assessments and data quality reviews on AI model outputs.
- Build reusable tools for data processing, visualization, and reporting.
- Partner with research teams to test hypotheses and scale experimental workflows.
What we're looking for
- 3+ years of experience in data science, machine learning, or a related analytical field.
- Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
- Familiarity with large-scale data environments and version-controlled workflows.
- Strong command of statistical analysis, experimental design, and model validation.
- Clear written communication and comfort collaborating across technical teams.
Tags & focus areas
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