Lead/ Senior Data Scientist

Lead/ Senior Data Scientist

• · Work Location:

o Hanoi: TechnoPark Tower, Vinhomes Ocean Park, Hanoi

o HCM: Vincom Dong Khoi

Key Responsibilities:

• · 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

Qualifications:

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