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VMO · Hanoi Capital Region

Data Scientist (Machine Learning) - Upto 50M

Hybridentry_levelfull timePosted 16 days ago
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Stack mentioned

data-sciencemachine-learningpythonsqlxgboostdata-engineeringmlopsawsa/b-testing

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.

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

JOB REQUIREMENTS

- 3+ years of experience in Data Science or Machine Learning, with hands-on experience in propensity modeling, ranking models, and production-grade ML solutions.

- Basic 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

BENEFITS

OPPORTUNITIES AND CHALLENGES:

- 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 the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.

- Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).

- Some advanced certifications will cover the full cost of studying and taking the exam.

ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:

- Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year

- Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.

- Holiday travel mode (package 5-7 million/person), team building,...

- Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.

- Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.

- The football club, cycling car, badminton, picklepall,... are just a few of the sports and cultural activities available.

- Allowance for classes and training awards: Learning Star of the Month

- A chance to be the face of the year's study, the royalties...

CONTACT AND APPLICATION

If you find this position a good fit for you, please send your application or reach out directly for more details:

- Email: [email protected]

- Phone (Zalo): 0981108599 (Phuong Lien)

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