Looking for behavioral science enthusiasts with expertise in experimentation, hypothesis testing, causal inference, and other skills to grow our diversity of skills.
- Apply factor analysis to uncover latent factors for user segmentation
- Apply mediation modeling to identify the mechanisms that account for the success or failure of new product features
- Use psychological theory to inform feature development for natural language processing
- Identify relevant behavioral science concepts that can be leveraged to promote the success of new products
- Design and conduct experiments to test product features
- Expertise in statistics required for hypothesis testing, including power analyses, parametric and non-parametric tests (e.g. chi-square, ANOVA, regression, multilevel modeling) and other statistical methods (e.g., factor analysis, causal inference, etc.)
- Fluency with at least one statistical software program (R, Python)
- Ability to work in a high volume environment and consult on multiple projects simultaneously.
Interested candidates please share your CV.
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