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DV

[HCM/Ha Noi] Data Scientist

Dikshatek VN
Posted 1 hour ago
📦Relocation support🛂Visa sponsorship
🇻🇳Vietnam
📁Data & Analytics
Is this job info correct?

Location: Ha Noi Capital or Ho Chi Minh City | Industry: Banking / Fintech / Financial Services

Job Responsibilities
  • Lead Data Science, Machine Learning & Deep Learning initiatives using large-scale Big Data.
  • Develop and deploy advanced analytics solutions: Predictive Models, Recommendation Engines, Customer Journey Analytics, Graph Models, etc.
  • Generate actionable insights to support business growth, customer journey and product enhancement.
  • Collaborate with Data Engineers and 3+ Agile Squads to design scalable analytics solutions.
  • Monitor model performance, data quality and accuracy; drive continuous improvement.
  • Lead projects, resolve delivery challenges, and support digital transformation initiatives.
  • Mentor and develop Data Analysts / Data Scientists.
Requirements
  • 7+ years of experience in Data Analysis, Data Science, Machine Learning & Deep Learning.
  • Strong experience deploying ML/Statistical models into production.
  • Proficiency in Python, R, SQL, Scala, Java, C/C++, and Tableau.
  • Strong background in Data Mining, Statistical Analysis, Data Visualization & Advanced Analytics.
  • Mandatory: Banking / Fintech / Financial Services experience.
  • Experience applying AI/ML to financial markets or financial services use cases.
  • Experience with Agile/Scrum and leading digital transformation initiatives.
  • Strong ability to deliver data-driven insights for senior management decision-making.
  • Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, IT, Software Engineering or related fields.
  • English proficiency required.
Expat / Relocation
  • Vietnamese overseas-based candidates and international expatriates are welcome.
  • Relocation to Vietnam is open.
  • Visa sponsorship/support available where applicable.
  • Full expatriate package and relocation support provided.
  • Candidates from International Banks, Fintechs, or Financial Services are highly preferred.


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