Senior Data Scientist (Python/ SQL) - OB After Tết

1/ Build Intelligent Models That Drive the Business Design, train, and deploy ML models across key use cases: customer segmentation, churn prediction, CLV estimation, propensity scoring, recommendation engines, anomaly/fraud detection, and more. Architect scalable modeling pipelines and experiment rigorously to ensure reliability, accuracy, and performance in production.2/ Deep-Dive Analytics at Scale Explore and analyze massive customer datasets to uncover behavioral patterns, trends, and drivers of engagement. Translate exploratory insights into actionable strategies that elevate customer experience and loyalty performance. 3/ Partner Across the Business Collaborate with Product Owners, Loyalty teams, Marketing, and airline business units to scope analytical needs and define data-driven solutions. Present insights and recommendations that inform strategic and operational decision-making. 4/ Experimentation & Optimization Build and maintain A/B testing frameworks to evaluate the effectiveness of ML models and interventions. Analyze experiment outcomes, identify lift, and optimize strategies across customer touchpoints. 5/ Production-Ready Machine Learning Work closely with Data Engineers to prepare high-quality features, streamline pipelines, and deploy models into operational systems. Monitor long-term model performance, manage drift, and retrain to maintain relevance and accuracy. 6/ Technical Communication & Leadership Simplify complex ML concepts for both technical peers and non-technical stakeholders. Potentially mentor junior Data Scientists/Analysts as the team grows. Stay current with emerging ML/AI technologies and proactively introduce new approaches to enhance the team’s capabilities.