Senior Full-stack Data Scientist

2 weeks ago

Ho Chi Minh City, Ho Chi Minh, Vietnam Masan Group Full time $1,200,000 - $1,500,000 per year

About the Role

We are looking for a
Full-Stack Data Scientist
to join our central analytics & ML team. In this role, you will own end-to-end development of machine learning solutions — from problem discovery, data exploration, feature engineering, model development, deployment, to post-production monitoring.

You will work on high-impact domains across Masan's retail, FMCG, supply chain, and customer ecosystem, dealing with large-scale, multi-channel data.

Key Responsibilities

  • Translate business problems into analytical/ML solutions with clear measurable impact.
  • Perform EDA, build hypotheses, and validate insights using large-scale structured & unstructured data.
  • Build, tune, and evaluate ML models (classification, forecasting, optimization, segmentation).
  • Develop production-ready features and contribute to the Feature Store.
  • Work on big data environments (Spark, PySpark, Databricks, Delta Lake).
  • Ensure data quality, lineage, and consistency across pipelines.
  • Package and deploy ML models using MLflow, FastAPI, Docker, and CI/CD workflows.
  • Collaborate with Data/ML Engineers to operationalize models at scale.
  • Set up monitoring dashboards: model performance, drift detection, data quality, retraining triggers.
  • Continuously track model performance and business KPIs after deployment.
  • Optimize and retrain models based on real-world feedback.
  • Communicate findings, insights, and recommendations to business teams in a clear and actionable way.
  • Explore new techniques (LLMs, embeddings, RAG) when relevant to business problems.
  • Prototype solutions rapidly and iterate based on feedback.

Qualifications

For Middle-level candidates

  • 2+ years of hands-on experience in applied machine learning.
  • Strong Python skills (pandas, sklearn; PySpark is a plus).
  • Solid understanding of statistics, algorithms, data structures.
  • Experience building and validating production-ready ML models.

For Senior-level candidates

  • 4+ years of end-to-end ML experience solving real business problems.
  • Proven track record of deploying, monitoring, and optimizing ML models in production.
  • Experience leading projects and partnering with cross-functional stakeholders.

Both levels

  • Experience with MLflow, FastAPI, Docker, or similar deployment tools.
  • Experience with cloud or big-data environments (Azure, Databricks, Spark/Delta).
  • Strong communication and ability to explain technical topics to non-technical teams.
  • Product-oriented mindset with strong ownership and a bias for impact.

Nice to have

  • Hands-on with LangChain, OpenAI API, prompt engineering.
  • Kaggle competitions, research publications, or AI side projects.

Key note
: We understand that year-end can be a sensitive time for career transitions; therefore, we are open to
negotiating the start date
to best suit your situation.

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