Responsibilities
- Develop and refine lifetime value prediction models across multiple regions and customer acquisition channels.
- Collaborate with Growth, Marketing, Product, Finance, and Engineering teams to identify business challenges and design data-driven solutions.
- Assess the effectiveness and quality of customer acquisition by channel, campaign, location, segment, and product usage patterns.
- Create models that inform strategic decisions on growth investment, payback timelines, customer quality, retention, and long-term value.
- Examine large datasets involving customers, products, marketing, and transactions to uncover trends, risks, and growth opportunities.
- Track and enhance model performance over time to ensure accuracy, reliability, and measurable business impact.
- Establish clear analytical frameworks and KPIs to guide trade-off decisions in growth strategy.
- Collaborate with engineering and data engineering teams to deploy models, data pipelines, and reporting tools into production.
- Apply practical, business-focused modelling techniques that balance technical rigor with real-world impact.
- Gradually expand involvement into additional data science initiatives across Growth and other business areas.
Benefits
- Competitive compensation and benefits package
- Stock options to align ownership with long-term success
- Performance-based discretionary bonus
- Access to up-to-date tools and technology
- Collaboration with a high-performing, skilled team
- Opportunity to shape the leading fintech application in Latin America
- Hybrid work model requiring 3-4 days per week in the office
Compensation
Competitive salary and benefits
Work Arrangement
On-site
Team
First data science hire within the Growth team
Office Policy
3-4 days a week in-office
Other
- Fluent in English
- 3-4 days a week in-office
