# Data Scientist **Company:** [Qode](https://jobs.workable.com/companies/d9Gs4Q7pnWjZVXU2mK6CGd.md) **Location:** Ho Chi Minh, Vietnam **Workplace:** hybrid **Employment type:** Full-time [Apply for this job](https://jobs.workable.com/view/1449eb9f-5d78-4147-9899-819a258e935b) ## Description 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. - **Technical Proficiency** - Excellence in problem-solving, with the ability to formulate business problems into technical requirements in a scientifically rigorous and effective manner. - Proven experience leading data science workstreams or projects, and mentoring junior data scientists. - Fluent in English with strong communication skills, especially when engaging with non-technical business stakeholders. - Expert in Python and SQL along with relevant data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and the ability to write production-ready code. - Advanced skills in version control (e.g. GitHub, GitLab, etc.) and data visualization. - Experience with MLOps tools and practices (e.g., pretraining, model tuning, model packaging, CI/CD for ML, model monitoring, ML pipelines, etc.). - Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization (e.g., Docker, Kubernetes). - Capable of researching, reading publications, and translating research papers into functional code. - Strong proactive mindset and the ability to take full responsibility for project outcomes. - Ability to lead the communication of technical concepts and collaborate effectively with cross-functional teams. - Ability to engage with business stakeholders to gather domain knowledge and requirements, and to communicate timelines, results, and other relevant matters. - Familiarity with agile delivery practices is a plus. - ****WHY YOU’LL LOVE WORKING WITH US**** Flexible Hours: 5 working days/week (Mon-Fri) with a focus on output, not clock-watching. Hybrid Model: 2 days WFH per week (Monday & Friday). Generous Leave: 12 days annual leave + special seniority benefits. Allowances: Lunch and gasoline support. Competitive Income: 13th-month salary + Performance-based bonuses. Full Insurance: Social, Health, and Unemployment insurance based on Gross Salary. Premium Care: Health Insurance for you, with seniority-based extension to family members. Learning Culture: Training for specialized skills, soft skills, and English. Engagement: Monthly Happy Hours, Company Trips, and vibrant Sport Clubs (Soccer, Yoga, Badminton). Well-being: Annual health check-ups and a supportive, collaborative environment. Clear career progression in venturing into domain specific expertise with AI and business knowledge Variety of choices of clients for you to interact with to grow and learn.