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