Data Scientist (Based in / Relocation to Bali)

Join our client, a global performance marketing platform focused on driving mobile app growth through reward-based user acquisition and monetization solutions.

Job Descriptions:

Analyze user funnels and system performance to identify trends, diagnose issues, and recommend data-driven improvements.
Design, execute, and evaluate experiments (such as A/B tests and holdout groups) to support product and business decisions.
Develop and deploy real-time machine learning models for scoring or recommendations in production environments.
Optimize model performance by addressing latency challenges, including response time (p95/p99), payload efficiency, and feature retrieval speed.
Establish monitoring systems to track model health (e.g., data drift, prediction shifts, performance degradation) and propose continuous improvements.

Requirements:

Minimum 3+ years of experience in Data Science or Machine Learning, with hands-on experience deploying production-level ML models via APIs.
Strong programming skills in Python (including pandas, NumPy, and scikit-learn) and advanced SQL capabilities (e.g., CTEs, window functions, large-scale data handling).
Solid understanding of classification models (such as XGBoost or LightGBM) and performance evaluation metrics like AUC and precision-recall.
Proven experience in experimentation frameworks (A/B testing), including design, analysis, and bias mitigation, along with the ability to translate insights into actionable decisions.
Familiarity with engineering best practices, including version control (Git), containerization (Docker), and writing clean, maintainable code, as well as basic knowledge of ML monitoring and observability.