Senior Data Scientist

📋 Description

• Develop, deploy, and maintain predictive models for lifetime value (LTV), churn, and retention
• Own the modeling roadmap for your area of responsibility, managing the complete lifecycle from
• Build cohort analyses and LTV models that inform user acquisition budgets, customer acquisition
• Develop user segmentation and propensity models to support personalization, audience targeting
• Continuously improve model accuracy and reliability through validation, backtesting, performance
• Design and conduct experiments, statistical analyses, and causal inference studies to measure the

🎯 Requirements

• At least five years of professional experience in data science, statistical modeling, or machine
• Strong Python programming skills, including experience with pandas, scikit-learn, or comparable
• Advanced SQL skills and the ability to extract, transform, analyze, and interpret complex datasets
• Demonstrated experience deploying machine learning models into production environments and
• Strong foundations in statistics, predictive modeling, forecasting, experimentation, and
• Practical experience with LLM APIs, prompt engineering, or the development of AI-powered analytical

🎁 Benefits

• Competitive monthly compensation: USD $4,000–$5,500, depending on experience, seniority, and
• Fully remote work: Work remotely from Brazil while contributing to projects for an international
• Full-time engagement: A full-time contractual position administered through a payroll platform.
• International collaboration: Work with distributed teams and contribute to data science initiatives
• Advanced technology exposure: Apply machine learning, predictive analytics, LLMs, and AI-powered
• Professional development: Expand your expertise in production machine learning, experimentation, AI