Role overview
- Analyze large datasets to extract insights that inform AI 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.
- Support data-driven experimentation and continuous model improvement initiatives.
What we're looking for
- Strong professional background in data science, machine learning, or related analytical fields.
- Proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn).
- Familiarity with large-scale data environments and version-controlled workflows.
- Strong understanding of statistical analysis, experimental design, and model validation.
- Excellent written communication skills and ability to collaborate across technical teams.
- Ability to work independently in a fully remote environment.
Interview process
- Upload resume
- Interview (15 min)
- Submit form
Tags & focus areas
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