Data Scientist

Rappi; Bogotá; Presencial; COP 70.000.000 - 140.000.000; Jornada completa

Descripción de la vacante

Rappi is seeking a results-driven Product Analytics professional in Bogotá to design and analyze high‑quality A/B tests, ensure validity, and interpret results for product decisions. You will investigate metric drops, quantify GMV impact, and shape pricing and growth strategies using SQL and Python at scale.

The role requires 3+ years in analytics, strong math/ statistics foundation, and the ability to communicate insights to non-technical stakeholders.

Formación

• Bachelor's degree in a quantitative field is required.
• Proven experience in product analytics, data science or growth.
• Strong ability to explain statistical concepts to non-technical stakeholders.

Responsabilidades

• Lead A/B test design, analysis and SRM checks to ensure validity.
• Diagnose drops in retention/conversion and quantify GMV impact.
• Analyze price elasticity and demand curves for pricing strategy.
• Write high-performance SQL for cohort analysis and large data sets.
• Develop vectorized Python scripts for scalable analytics.
• Partner with Product Managers to translate data into actions.
• Optionally design AI-based workflows for anomaly detection.

Conocimientos

SQL Expert

Python Proficiency

Business Acumen

Communication

Educación

Bachelor's degree in Statistics / Mathematics / Economics / Computer Science

Herramientas

Pandas/Polars/NumPy

N8N

Airflow

Descripción del empleo

• Experimentation Excellence: Lead the design and analysis of A/B tests with high statistical standards. You will not just calculate p-values, but rigorously check for Sample Ratio Mismatch (SRM), Novelty/Primacy effects, and biases to ensure validity before rollout.
• Diagnostic & Root Cause Analysis: Proactively investigate sudden drops in core metrics (like Retention or Conversion). You will differentiate between technical issues (bugs, latency) and market behaviors/competitor actions, and quantify the GMV loss to prioritize engineering fixes.
• Economic Strategy: Analyze price elasticity and demand curves to recommend optimal pricing points. You will balance trade-offs between Conversion Rate lift and Operational Costs (e.g., support tickets, refunds) to maximize long-term profitability.
• Advanced Data Processing: Write high-performance SQL for complex cohort analysis and data aggregation. You will develop optimized Python scripts (using vectorization instead of loops) to handle large-scale datasets (10M+ rows) efficiently.
• Strategic Partnership: Act as a thought partner for Product Managers. You will challenge assumptions with data, translating complex statistical concepts (Welch’s t-test, confidence intervals) into actionable business recommendations.
• Automation & Innovation: (Optional but valued) Design workflows using AI Agents (N8N, LLMs) or Python scripts to automate anomaly detection and metric monitoring.
• Educational Background: Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Experience: 3+ years in Product Analytics, Data Science, or Growth, with a specific focus on A/B Testing and causal inference.

Perfil Tech

• Technical Stack:
• SQL Expert: Ability to write complex window functions, manage sparsity in cohort retention, and prepare data for statistical testing.
• Python Proficiency: Strong skills in Pandas/Polars/NumPy. You understand computational complexity ($O(N^2)$ vs $O(N)$) and know how to vectorize operations to optimize performance.
• Business Acumen: Ability to calculate the financial impact of technical decisions. You understand concepts like LTV, CAC, and Price Elasticity of Demand.
• Communication: Demonstrated ability to explain "why" a test failed or succeeded to non-technical stakeholders, moving beyond the numbers to the strategic implication.
• Plus: Experience with Workflow Automation (N8N, Airflow) or building simple RAG/AI agents for internal tools.