Senior Data Scientist: A/B Testing & Growth

Rappi; Bogotá; On-site; COP 120,000,000 - 180,000,000; Full time

Job summary

Rappi is seeking a data-driven analytics professional to lead experimentation design and analysis in Bogotá. You will ensure validity through SRM checks and bias assessments, and you will quantify the GMV impact of findings to guide product decisions.

You will combine SQL-heavy cohort analysis with vectorized Python to evaluate price elasticity, demand curves, and conversion effects while collaborating with Product Managers to turn insights into strategy.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field.
• 3+ years in Product Analytics, Data Science, or Growth focusing on A/B testing and causal inference.
• Experience with SRM checks, novelty/primacy effects, and bias assessment in experimentation.

Responsibilities

• Lead the design and analysis of A/B tests with rigorous statistical standards.
• Investigate drops in core metrics and quantify GMV impact to prioritize fixes.
• Analyze price elasticity and demand curves to optimize pricing decisions.
• Write high-performance SQL for cohort analysis and data preparation for testing.
• Develop vectorized Python scripts for large-scale datasets (10M+ rows).
• Collaborate with Product Managers to translate statistical insights into actionable recommendations.
• Optionally design AI-driven workflows (N8N/Airflow) to automate anomaly detection and monitoring.

Skills

SQL

Python

Experimentation

Causal inference

Communication

Statistics

Education

Bachelor’s degree in statistics, mathematics, economics, or computer science

Tools

N8N

Airflow

Pandas/Polars/NumPy

Job description

Rappi is seeking a data-driven analytics professional to lead experimentation design and analysis in Bogotá. You will ensure validity through SRM checks and bias assessments, and you will quantify the GMV impact of findings to guide product decisions.

You will combine SQL-heavy cohort analysis with vectorized Python to evaluate price elasticity, demand curves, and conversion effects while collaborating with Product Managers to turn insights into strategy.