- Strong programming skills (e.g., Python, R, etc.)
- Foundational coursework or experience in statistics, econometrics, or data science
- Self-motivated and driven to explore complex analytical challenges
- Interest in data analysis, modeling, and forecasting
- Demonstrated ability to think critically about models, data, and assumptions
- Ability to work independently while maintaining methodological rigor
- Effective communication skills to present insights to technical and non-technical stakeholders
- Enrollment in or completion of a Master’s program in STEM, economics, finance, or other data-related field
Desired Attributes
- Familiarity with statistical and machine-learning frameworks (e.g., statsmodels, pandas, numpy, matplotlib, etc.)
- Experience applying time series analysis techniques (e.g., ARIMA, VAR) or exploring machine-learning models for forecasting
- Comfortable rapidly prototyping, testing, and iterating on statistical models
- Creative yet pragmatic mindset; able to challenge assumptions while aligning with organizational goals
- Interest in exploring the intersection of policy, economics, and travel trends
- Familiarity with cloud environments like AWS (serverless technologies are a plus)
Other Information