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Open nowPosted 6 hours ago

Data Scientist

Workable (global search)106,866 open roles

Where
Ho Chi Minh, Vietnam
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Your applicationOpen nowData ScientistWorkable (global search) · Ho Chi Minh, Vietnam

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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 6 hours ago

Workable (global search) median: 4 days open

The posting

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.

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