
Hà Nội+2
Nghỉ trọn T7, CN
Hạn chót 01/10/2026
Đăng 27 ngày trước
Ít hơn 20 ứng viên
- 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
- Experience with MLOps and model deployment - Experience with AWS SageMaker - A/B testing and experimentation knowledge.
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. • Ngày làm việc: T2 - T6 • Cấp bậc: Có kinh nghiệm • Loại công việc: Toàn thời gian
Nếu bạn đang tìm kiếm vị trí Data Scientist (Machine Learning) - Banking Domain tại Hà Nội, đây là cơ hội làm việc tại Công Ty Cổ Phần Công Nghệ VMO Holdings với mức lương cạnh tranh và môi trường làm việc chuyên nghiệp. Ngoài tin tuyển dụng này, Upzi còn cập nhật nhiều việc làm cùng lĩnh vực và địa điểm mỗi ngày.
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
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital
Holiday travel mode (package 5-7 million/person), team building,
Opportunities for capacity development, as well as assistance with professional certification expenses. Allowance for classes and training awards: Learning Star of the Month
The football club, cycling car, badminton, pickleball ... are just a few of the sports and cultural activities available
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
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Hà Nội
Nghỉ trọn T7, CN
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Có làm T7
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Hà Nội
Nghỉ trọn T7, CN