Data Scientist (Statistical Modeling & Analytics)

Develop predictive models for churn, detraction propensity, and customer behavior using advanced statistical techniques. Build recommendation systems to measure business impact through A/B testing and uplift modeling. Design data models and ensure data integrity across enterprise pipelines while complying with data protection regulations. Translate complex statistical outputs into actionable insights for leadership.

Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or Engineering. Solid experience of 5+ years in statistical modeling and advanced data analytics. Strong technical skills in Python or R, advanced SQL, and experience with data governance. Advanced English is mandatory, and intermediate Spanish is desirable.

The company offers a hybrid work model with two days a week in the office. Employees can benefit from various perks including health insurance, discounts on courses, and a mentoring program.