Tóm tắt
·
o
·
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.
·
·
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.
·
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.
·
Strong problem\-solving skills and ability to work independently.
·
Proactive in researching and adopting new technologies.
·
·
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.
·
E
xclusive 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.
Đang tải…
Vingroup tech (HN · HCM)
HN · HCM (Technopark / Vincom ĐK) · Sync · 29 job
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| Job | Địa điểm | Thời gian | Hành động |
|---|---|---|---|
Ho Chi Minh City, Vietnam | Ho Chi Minh City, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Gia Lâm district, Hanoi, Vietnam | Gia Lâm district, Hanoi, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Vietnam | Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Hanoi, Hanoi, Vietnam | Hanoi, Hanoi, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Gia Lâm, Hanoi, Vietnam | Gia Lâm, Hanoi, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Ho Chi Minh City, Vietnam | Ho Chi Minh City, Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam | ||
Vietnam | Vietnam |
29 job
29 job
Tóm tắt
·
o
·
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.
·
·
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.
·
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.
·
Strong problem\-solving skills and ability to work independently.
·
Proactive in researching and adopting new technologies.
·
·
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.
·
E
xclusive 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.
Đang tải…