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Vingroup · Hà Nội
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Ngành nghề khác
Phòng ban
VinSmart Future
Mức lương
Thương lượng
Địa điểm
Thành phố Hà Nội, Hà Nội

Tổng quan

  • 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

Yêu cầu

  • 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

Quyền lợi

  • 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.
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