Senior Data Scientist

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Analysis Focused on Humans: Analyze human behavior, sentiment, and language data to reveal hidden patterns and support data-guided decision-making.
AI/ML Model Development: Develop prompts to interact with AI models, optimize output quality and relevance, conduct fine-tuning, data feeding, validation, and engineering for continuous improvement.
Pragmatic Solutions Delivery: Consistently make practical technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.
Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery.

JOB REQUIREMENT

Over 6 years of relevant experience in data science, with a focus on consumer-facing platforms, human-generated data, or similar domains.
More than 4 years of experience applying advanced statistical methods and data mining techniques to find new business opportunities and address existing challenges, including developing data products from concept to production.
Familiarity with Natural Language Processing (NLP), AI/Machine Learning (ML), including LLMs and modern ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and Quality Assurance (QA) for targeted applications.
Proficiency in SQL, one or more programming languages (Python, R, C++, Java), and familiarity with data science libraries and toolkits.
Ability to communicate complex technical concepts to non-technical partners.
Knowledge of Data Engineering, DevOps practices for AI model deployment, and MLOps principles.
AWS Experience: Familiarity with core AWS services used in a data context.
Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting.

WHAT'S ON OFFER

We offer a professional and enjoyable working atmosphere.
We prioritize your long-term development.
We are dedicated to creating a future-ready digital bank platform.
Competitive salary
13th-month salary guarantee
Performance bonus
Access to professional English courses
Premium health insurance
Generous annual leave allowance

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Science

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01932

Status:

Close

Related Job:

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam

Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam

Product

  • Devops
  • AWS
  • Azure
  • Security

Management of CI/CD Pipeline: Ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes, define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • C/C++
  • Python

Refine a wide array of structured and unstructured data to produce high-quality datasets for quantitative analysis and financial engineering. Improve data integrity and quality by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines. Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors in the data. Derive insights from large-scale datasets and collaborate with research teams to pinpoint opportunities for tradable signals. Create utility tools to automate software development, testing, deployment, and monitoring workflows. Offer technical support to global researchers, including diagnosing technical issues, troubleshooting Python and C++ code, and suggesting scalable fixes and improvements. Troubleshoot and resolve issues in C++ applications and data pipelines with a strong focus on performance, stability, correctness, and maintainability. Investigate and implement AI/LLM-based solutions to enhance data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details