CharterUP is seeking to solve the problem of streamlining the group transportation industry with cutting-edge technology and innovative SaaS software, delivering an industry-leading experience for both customers and operators.
Requirements
- Proficiency in SQL, Python, and spreadsheet tools like Excel/Google Sheets.
- Hands-on experience with predictive modeling techniques such as regression analysis, logistic regression, time series forecasting, or classification models.
- Familiarity with data visualization tools (e.g., Tableau, Power BI)
Responsibilities
- Analyze and interpret large datasets to surface trends, build models, and generate actionable insights.
- Build and maintain predictive models (e.g., regression, classification, time series) to forecast business outcomes.
- Conduct statistical analysis using Python and SQL to inform decision-making.
- Design and maintain dashboards and KPIs for operational and strategic use
Other
- A Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Data Science, Economics, or a similar field.
- 1+ years of experience in a data-driven role OR relevant graduate research experience.
- Remote-First Flexibility: Work from anywhere we hire, with built-in flexibility. U.S.-based employees may reside in any of our 19 approved states.
- Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits.
