Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Department
VinSmart Future
Salary
Thương lượng
Location
Thành phố Hà Nội, Hà Nội
Overview
- Develop and maintain quantitative models to drive user growth efficiency, including segmentation, propensity, and recommendation models for key problems such as retention, activation, conversion, and monetization.
- Design and analyze A/B tests, uplift experiments, and causal inference studies to measure the true impact of marketing campaigns or policy changes.
- Build and train uplift and causal ML models to identify customers with the highest probability of positive response.
- Develop reinforcement learning and contextual bandit models for personalization, adaptive offers, and dynamic channel allocation; research and implement models that optimize long-term objectives such as Customer Lifetime Value (CLV).
- Design and operate optimization problems for resource, budget, and exposure allocation under real-world constraints and objectives.
- Apply deep learning (embedding, seq2seq, transformer-based recommenders) to capture multidimensional user behaviors and complex signals such as location, device, and transaction sequences.
- Collaborate closely with Product, Growth, Marketing, CRM, and Data Platform teams to deploy models into production and monitor performance accuracy and drift on a quarterly basis.
- Build guardrail metrics and growth simulation frameworks to forecast the long-term impact of product or policy changes.
- Contribute to the development of experimentation frameworks and uplift platforms with ML engineers to automate analysis and reporting.
- Develop reproducible analysis notebooks and dashboards; conduct insight workshops for non-technical stakeholders.
- Optimize data querying and processing workflows using SQL, NoSQL, and Python.
- Enhance and automate data pipelines and streaming data processes for scalability and reliability.
- Optimizing process of access, security and managing infrastructure.
- Mentor and provide technical guidance to junior Data Specialist.
- Propose product improvement ideas and write research reports
Requirements
- Education & Experience
- Bachelor’s degree or higher; Master’s degree or published research is preferred.
- In-depth knowledge of Data Platforms/Data Science.
- Proficient in Python and SQL/NoSQL.
- At least 3 years of experience in Data Science projects.
- Strong ability to research and apply English-language materials.
- Technical Competencies
- Proficient in Data Platforms and Data Science.
- Skilled in Python, SQL/NoSQL, Git, and Docker.
- Strong ability to improve and optimize processes, pipelines, and code.
- Core Competencies
- Strong problem-solving skills and ability to work independently.
- Proactive in researching and adopting new technologies.
- Mentorship and teamwork support capabilities
Benefits
- Flexible working hours and attendance policy (Work from Home on working Saturdays).
- Attractive compensation and bonus packages, highly competitive in the market.
- Exclusive employee benefits across the Group’s ecosystem in accordance with company policies.
- Opportunity to work on large-scale and strategic technology projects.
- Professional technology environment with leading scientists, experts, and engineers from top technology companies in Vietnam and around the world.
- Free access to learning platforms such as Udemy, Coursera, and O’Reilly; internal workshops; sponsorship for professional certifications; and exclusive mentoring programs from the Group and Company leadership team.
- Full statutory insurance coverage in accordance with Vietnamese Labor Law (Social Insurance, Health Insurance, Unemployment Insurance), along with private healthcare insurance based on job grade and annual health check-ups at reputable hospitals and healthcare centers nationwide.
- Participation in internal activities, team-building programs, and annual company events.
BonusHealthcare
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