About this role

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

Source listing: workable_qodeworld