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Lead/ Senior Data Scientist

Qode · Ho Chi Minh

Posted 8/21/2026 · last confirmed live 8/25/2026

Apply on Qode’s site
Lead/ Senior Data Scien tist ·       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

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