Lo que harás
Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds!
Do you want to know why Rappi?
⭐️ WE SEE OPPORTUNITIES
where others see problems⭐️ WE SEE CLOSE
where others see distance⭐️ WE SEE ADRENALINE
where others see pressure.Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.
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Find out how you will deliver magic together with us through your Rappi mission 🧡Revisa Cómo Impactarás Nuestro EcosistemaDrive Rappi’s growth strategy by ensuring scientific rigor in decision-making. You will design, execute, and analyze complex A/B tests, diagnose root causes of metric fluctuations, and model economic impacts (elasticity/LTV). Your goal is to turn raw data into causal insights that optimize user retention, conversion, and unit economics, preventing costly mistakes derived from bad statistics or intuition.Como Parte De Rappi, Serás Responsable De
What You'll Do
- 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.
What You'll Need
- 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.
- Statistical Rigor: Deep theoretical understanding of hypothesis testing (Frequentist & Bayesian), Minimum Detectable Effect (MDE), variance reduction, and common pitfalls like Peeking or SRM.
- 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.
Empleador
Rappi Technology Colombia
Para más información consulta nuestra pagina web https://about.rappi.com/es y revisa nuestras reseñas en Glassdoor https://acortar.link/Eqm07Q
¡Te esperamos con mucha ansiedad y brillo en los ojos para entregar magia juntos! #Rappi 🧡
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.