Data Scientist

**Job Overview**

We are seeking a Data Science Specialist /

Manager

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.

**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 longterm 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.
• 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 on 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

**Qualifications:**

• 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 4 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.

Apply via:

Mail

**: [email protected]**

For more information, please contact the Talent Acquisition Department – VinSmartFuture