
Tuyển dụng Data Scientist (Machine Learning) - Banking Domain tại Hà Nội
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- 💰Lương Tới $ 2,000 /tháng
- 🎁Thưởng hấp dẫn
- 🏠Làm từ xa / linh hoạt
- 📈Đào tạo & thăng tiến
- ✈️Du lịch / team building
Kỹ năng cần có cho Data Scientist (Machine Learning) - Banking Domain
Mô tả công việc Data Scientist (Machine Learning) - Banking Domain
The Data Scientist role focuses on building propensity models and sizing market opportunities for VMO projects 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.
Job Responsibilities
1. Propensity Modeling & Ranking:
- Predict CTR and engagement probability
- Use models like XGBoost / LightGBM
- Optimize ranking using NDCG, MRR, Precision@K
2. Feature Engineering:
- Build features from user behavior, interaction signals, and context
- Handle sparse and noisy data
3 Cold Start Handling:
- Design strategies for new users and new offers
- Implement hybrid and fallback approaches
4. Bias Handling:
- Mitigate popularity and exposure bias
- Implement diversity and re-ranking strategies
5. Model Evaluation:
- Define and track CTR, conversion, NDCG, AUC
- Continuously improve engagement metrics
6. Scalability & Deployment:
- Build systems for millions of users
- Enable real-time or near real-time inference.
Yêu cầu công việc
- 3+ years of experience in Data Science or Machine Learning, with hands-on experience in propensity modeling, ranking models, and production-grade ML solutions.
- Intermediate English communication skills (spoken and written); candidates with strong English communication skills are preferred.
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.
Quyền lợi
- Thưởng: 13th-month salary Review salary 1-2 times/year, with the possibility of an unexpected salary rise. Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
- Chăm sóc sức khoẻ: Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
- Đào tạo: Opportunities for capacity development, as well as assistance with professional certification expenses. Allowance for classes and training awards: Learning Star of the Month.
- Cơ hội du lịch: Holiday travel mode (package 5-7 million/person), team building,...
- Hoạt động nhóm: The football club, cycling car, badminton, pickleball ... are just a few of the sports and cultural activities available.
- Khác: Negotiable depending on experience & skills Opportunity to work in a professional, modern and energizing setting. Challenging projects, possibilities, cutting-edge technology, and problems. An open and dynamic working atmosphere that promotes
Mức lương Data Scientist (Machine Learning) - Banking Domain trên thị trường
Mức của tin này (50 triệu) cao hơn trung vị 178%.
Nhà tuyển dụng Vmo - An Alten Company
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