Onsite_Mid/Sen Data Scientist (Không yêu cầu tiếng anh)

The Data Scientist role focuses on building propensity models and sizing market opportunities for VMO project with banking clients. This hybrid position requires a blend of data science and engineering skills to create production-grade pipelines. The role is pivotal in driving sales strategy through data-driven outputs. Candidates should have a strong background in Python and SQL, along with proven experience in propensity modeling.

Propensity Modeling & Ranking:

• Predict CTR and engagement probability
• Use models like XGBoost / LightGBM
• Optimize ranking using NDCG, MRR, Precision@K

Feature Engineering:

• Build features from user behavior, interaction signals, and context
• Handle sparse and noisy data

Cold Start Handling:

• Design strategies for new users and new offers
• Implement hybrid and fallback approaches

Bias Handling:

• Mitigate popularity and exposure bias
• Implement diversity and re-ranking strategies

Model Evaluation:

• Define and track CTR, conversion, NDCG, AUC
• Continuously improve engagement metrics

Scalability & Deployment:

• Build systems for millions of users
• Enable real-time or near real-time inference

• Strong Python - the existing model suite is Python-heavy
• Advanced SQL large complex datasets
• Proven propensity modelling experience - built and delivered, not just theoretical
• Genuine hybrid capability - data science and data engineering
• Confident communicator with non-technical stakeholders Hands-on with XGBoost, LightGBM

Nice to Have

• Experience with MLOps and model deployment
• Experience with AWS SageMaker
• A/B testing and experimentation knowledge