Mô tả công việc
• 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
• 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
Khác
According to company policies
Thông tin khác
NGÀY ĐĂNG
[protected info]
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
KỸ NĂNG
Data Science, Git, NoSQL, NoSQL, Problem-solving, Python
LĨNH VỰC
Phần Mềm CNTT/Dịch vụ Phần mềm
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
3
QUỐC TỊCH
Không giới hạn
Xem thêm
Thông tin chung
Nơi làm việc
- Vincom Center Đồng Khởi, Lê Thánh Tôn, Phường, Bến Nghé, Quận 1, Hồ Chí Minh, Việt Nam
- Tòa nhà Technopark, Ocean park, Gia Lâm, Hà Nội
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 08/06/2026