Data Scientist ML

VMO - a proud member of the ALTEN Group, a global leader in engineering and IT services with over 57,400 employees worldwide.
At VMO, we partner with clients across Asia, the Americas, and Europe, delivering software development and digital transformation solutions that drive real impact on businesses and society.
From day one, our vision has been to build more than just a technology company - we aim to create a place where forward thinkers can thrive, innovate, and make a difference. At VMO, local talent connects with global opportunities. We are home to innovators, dreamers, and doers - and we are always looking for passionate people to join us and shape the future together.
Key Responsibilities 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
Required Qualifications
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
*Conversational English is not a mandatory requirement.
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:
Income: Fixed salary (upto 50M/ negociate) + other bonus
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Bonuses for the 13th month of employment, project bonuses, and company, Tet holiday, September 2, company birthday, ...
Holiday travel mode (package 5-6 million/person), team building (2-3 times/year).
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital. External insurance with the company's essential workers.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
The football club, cycling car, badminton, ... are just a few of the sports and cultural activities available.
APPLY FOR POSITION
Send your CV to: [protected info] (Ms. Minh Hoa)
Telegram: @minhhoami
Address: IDMC Ton That Thuyet, Cau Giay, Hanoi