Senior Data Scientist

qode.world

. Design robust, scalable, and innovative data science solutions while considering performance, maintainability, and business impact.

Posted 11/2/2026full-timeHo Chi Minh • VietnamSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science, machine learning, and AI, with a strong focus on delivering scalable solutions and mentoring junior team members. Proficient in Python, SQL, and relevant data science libraries, with hands-on experience in MLOps and cloud platforms.

Highest-signal resume keywords

Data Science Project LeadershipMachine Learning ExpertisePython ProgrammingMLOps PracticesCloud Platform Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningNatural Language ProcessingComputer VisionStatisticsPythonSQLData VisualizationVersion ControlModel Evaluation

Soft Skills

Problem-SolvingCommunicationMentoringCollaborationProactive Mindset

Tools & Technologies

PandasNumPyScikit-learnTensorFlowPyTorchGitHubGitLabGCPAWSAzure

Industry Keywords

Data ScienceMLOpsAgile DeliveryBusiness Process AutomationAI Training

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design robust, scalable, and innovative data science solutions while considering performance, maintainability, and business impact.
Provide technical leadership on complex projects and oversee the work of junior and mid-level data scientists.
Own data science projects and modules end-to-end, from data collection and preparation to model development, evaluation, and MLOps.
Communicate complex analytical concepts and findings to technical and non-technical stakeholders, translating insights into actionable business recommendations.
Collaborate with project managers, engineers, and business stakeholders to align data science efforts with business objectives.
Engage with senior stakeholders to understand business needs, present complex findings, and influence data-driven decision-making.
Stay current with advancements in data science, machine learning, and AI, and explore new technologies and methodologies.
Mentor and coach Data Scientists at all levels, fostering continuous learning and growth.
Deliver practical, real-world solutions across vessel operations, business process automation, customer experience, and specialized AI training.

Requirements

What you’ll need

Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, AI, Engineering, or a highly related field is required.
Master’s degree in any of the above disciplines is preferred.
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.
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, including pretraining, model tuning, model packaging, CI/CD for ML, model monitoring, and ML pipelines.
Hands-on experience with cloud platforms such as GCP, AWS, or Azure and containerization such as Docker or 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.

Benefits

Comp & perks

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.