Senior Data Scientist Python/ SQL - OB After Tet

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.

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of hands-on experience applying data science to real-world business problems-preferably in customer analytics, loyalty, e-commerce, or airline domains.
• Strong expertise in statistical modeling, machine learning algorithms, and experimental design.
• Proficiency in Python or R, with experience using frameworks such as Scikitlearn, TensorFlow, PyTorch, Spark MLlib.
• Strong data manipulation skills using SQL, Pandas, and distributed processing tools (Spark).
• Experience with model deployment or MLOps pipelines is a plus.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to work independently and lead analytical projects end-to-end.

Preferred:

• Experience in personalization, loyalty modeling, or airline analytics.
• Knowledge of model monitoring, data pipeline orchestration, and feature engineering at scale.
• Familiarity with cloud platforms (AWS/Azure/GCP) and CI/CD workflows for ML.

Impact at Scale

• Shape the future of personalization and loyalty intelligence for a fast-growing, national-scale airline ecosystem.
• Work with cutting-edge tools, rich datasets, and a forward-thinking engineering culture that empowers experimentation and innovation.

Build the Future of Data Science in the Group

• Collaborate with top-tier Data Engineers, Architects, Analysts, and business teams.
• Be part of an environment that values curiosity, autonomy, and continuous learning.
• Make your mark on how ML/AI is applied across the enterprise.

Sun Group Exclusive Benefits

• "An cư lạc nghiệp" policy: eligible employees receive full-value commercial apartments for long-term tenure.
• Premium SunCare Insurance for employees and their families (fully covered for employees).
• Annual comprehensive health check-up at Sun Group International Hospital.
• Complimentary access to theme parks, cable cars, cultural/symphonic events, plus exclusive discounts at Hotels & Resorts.
• Special offers across aviation, NCB banking services, and real estate products.
• A dynamic, innovation-driven working environment where talent and contributions are recognized and rewarded.