Head Of Data Scientist - Big Ecosystem in Vietnam

Michael Page

  • Tp Hồ Chí Minh
  • 46.800-57.200 $ một năm
  • Lâu dài
  • Toàn thời gian
  • 16 ngày trước
  • Ứng tuyển Dễ dàng
We're seeking a Head Of Data Scientist to drive full-stack machine learning projects-from problem definition to production deployment. This role offers the chance to work with large-scale, multi-source data and collaborate across engineering and business teams to deliver measurable outcomes.
  • Collaborate with business teams to define data science problems with clear success metrics.
  • Execute end-to-end ML workflows: data exploration, feature engineering, model development, and validation.
  • Deploy and maintain scalable ML models in both batch and real-time environments.
  • Monitor model performance and adapt to evolving business needs and data patterns.
  • Work with structured and unstructured data to build advanced solutions in areas like personalization, forecasting, and NLP.
  • Create reusable components and frameworks to accelerate future ML development.
  • Communicate findings effectively to both technical and non-technical audiences.
Work with massive, million datasets of users.Lead impactful machine learning initiatives across industies
  • 5+ years of hands-on experience in data science or ML engineering.
  • Strong foundation in machine learning, statistics, and optimization techniques.
  • Proficiency in Python and libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM.
  • Solid SQL skills and experience with large-scale data platforms (e.g., Snowflake, BigQuery, Spark).
  • Familiarity with MLOps tools and workflows (e.g., MLflow, Airflow, Docker).
  • Strong analytical thinking, product mindset, and ability to work cross-functionally.
  • Degree in Computer Science, Data Science, Mathematics, or related fields.
  • Strong academic background or recognition in data competitions.
  • Experience in domains like personalization, demand forecasting, churn prediction, or pricing optimization.
Our client is a major enterprise undergoing a data-first transformation across multiple industries. With a strong national footprint and a commitment to innovation, they are investing heavily in digital capabilities to enhance customer experience and operational efficiency.
  • Full ownership of the ML lifecycle with direct business impact.
  • Access to rich, multi-industry datasets at national scale.
  • Be part of a high-priority digital transformation initiative.
  • Competitive compensation and clear career growth opportunities.

Michael Page