Data Scientist

About this role

We're hiring this role for our client, who focuses on creating practical, real-world solutions. Its core activities include optimizing vessel operations, automating business processes, enhancing customer experiences, and providing specialized AI training to help companies transition from experimental concepts to full-scale digital implementation. DATA SCIENTIST Job Location: HCMC, Vietnam Job Presence: Hybrid ABOUT THE ROLE As a Data Scientist, you will play a key role in bridging data science with business value by delivering high-impact solutions across diverse industries.

You will work end-to-end—from understanding business requirements to developing models, evaluating outcomes, and deploying scalable solutions—while collaborating with cross-functional teams in a fast-paced, innovation-driven environment. KEY RESPONSIBILITIES 1 - Discovery and Strategy to Frame Technical Feasibility Solution Architecture & Design: Design robust, scalable, and innovative data science solutions while considering performance, maintainability, and business impact.

Technical Leadership: Provide technical leadership on complex projects, oversee the work of junior and mid-level data scientists, and ensure best practices are followed. End-to-End Project Execution: Take ownership of data science projects and modules, from data collection and preparation to model development, evaluation, and MLOps. Communication & Storytelling: Effectively communicate complex analytical concepts and findings to both technical and non-technical stakeholders, translating insights into actionable business recommendations.

Cross-functional Collaboration: Work closely with project managers, engineers, and business stakeholders to align data science efforts with business objectives. Stakeholder Management: Engage with senior stakeholders across the organization to understand business needs, present complex findings, and influence data-driven decision-making at a strategic level. Innovation & Research: Stay abreast of the latest advancements in data science, machine learning, and AI, exploring opportunities to integrate new technologies and methodologies.

Mentorship & Coaching: Actively mentor and coach Data Scientists at all levels, fostering a culture of continuous learning and growth within the team. QUALIFICATIONS & SKILLS Education & Experience Education: Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, AI, Engineering, or a highly related field is required. A Master’s degree in any of the above disciplines is preferred. Experience: Possess at least 5 years of experience in one or more data science domains such as machine learning, deep learning, natural language processing (NLP), computer vision (CV), optimization, or statistics.