🛠 Tech Stack

💼 About This Role

You'll design and build predictive models for credit risk and revenue forecasting at a leading eCommerce funding company. You'll drive measurable impact by productionizing models and optimizing underwriting decisions. This role offers the chance to work with messy real-world data and shape risk strategy.

🎯 What You'll Do

• Design and execute data science experiments including causal analysis and A/B tests.
• Develop predictive models for credit/risk scoring and revenue forecasting.
• Own model performance monitoring and drive improvements to data quality.
• Partner with Engineering to productionize models and analytics.

📋 Requirements

• 5+ years of professional experience in data science or applied machine learning.
• Strong foundations in statistics and experimentation including hypothesis testing.
• Proven experience building and shipping predictive models (classification, regression, time series).
• Strong proficiency in Python and SQL with production data workflows.

✨ Nice to Have

• Experience with credit risk, underwriting, or financial forecasting.
• Experience with BigQuery or Snowflake and dbt.
• Familiarity with MLOps patterns and cloud environments.

🎁 Benefits & Perks

• 🏖️ Remote work from anywhere in Brazil.
• 💵 Competitive contractor compensation in USD.
• 📈 Impactful work at the intersection of DS, ML, and product.
• 👥 Collaborative team with mentoring opportunities.