Data Scientist

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Model the profitability and customer value (CLV / LTV).

• Design frequency and retention models (Poisson, NBD, survival).

• Build propensity, churn, and uplift models (causal inference).

• Implement models for audience building and optimization of paid media campaigns.

• Measure incremental impact through experimentation.

⛳️ Requirements

• Educational background in Mathematics, Statistics, Actuarial Science, Economics, Physics, Engineering, or a related field.

• Ideally, experience in B2C businesses.

• Experience in probabilistic modeling with a direct impact on revenue.

• Knowledge in survival analysis, counting, segmentation, and causality.

• Desirable experience with Bayesian models.

• Proficiency in Python, R, and SQL.

• Ability to link analytical rigor with business decision-making.

🏝️ Benefits

• Work culture centered around trust and purpose.

• Opportunities for creativity and curiosity.

• Space for ideas and feedback.

• We value transparency and clarity.