VMO Group
AI tóm tắt
Skills bắt buộc
Summary:
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
Key Skills:
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
OPPORTUNITIES AND CHALLENGES:
ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:
Nguồn: careers VMO Group