(Senior) Manager, Data Science

Job Overview

We are seeking a Data Science Manager / Director to lead a Data Science team and drive the development of advanced ML and optimization solutions for customer growth, personalization, recommendation, retention, conversion, and monetization.

This role combines people leadership, technical leadership, and business ownership, working closely with Product, Growth, Marketing, Engineering, and Data Platform teams to turn data and AI capabilities into measurable business impact.

Key Responsibilities:

• Provide technical leadership and direction across Data Science and Machine Learning initiatives, ensuring high standards in modeling, experimentation, and production delivery.
• Define and drive the Data Science roadmap and priorities, aligned with product and business objectives.
• Own the delivery and business impact of Data Science initiatives, working closely with Product, Growth, Marketing, CRM, Engineering, and Data Platform teams.
• 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.
• Lead and manage the Data Science team, including team planning, hiring, mentoring, performance management, and capability development.
• 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 8-10 years of experience in Data Science, Machine Learning, or related fields.
• Proven experience leading and managing Data Science/ML teams, including mentoring, team development, technical leadership, and delivery ownership.
• 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

• 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.
• 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.