Senior Data Scientist

Ho Chi Minh

We are looking for a Data Scientist to join our Data practice and develop statistical and machine learning solutions for enterprise clients across audience and customer analytics, personalization, measurement, and forecasting. You will also develop and evaluate LLM-based and agentic applications, ranging from single-agent tools to multi-step workflows. Working closely with Data Engineers, Strategists, and Designers, you will help transition models and AI agents from analysis into production environments. Key Responsibilities Translate client business questions into analytical and modeling problems, selecting appropriate approaches and techniques to address them. Develop, validate, and deploy predictive models for use cases such as propensity modeling, segmentation, churn prediction, forecasting, and recommendations. Design and analyze experiments, including A/B testing and incrementality studies, and communicate findings to both technical and non-technical audiences. Design and develop agentic applications, including tool-enabled agents, multi-step workflows, retrieval-augmented generation (RAG), and prompt design. Develop evaluation frameworks for AI systems, covering test sets, quality metrics, guardrails, and regression checks to assess model and agent behavior. Leverage AI agents and automated workflows to accelerate analysis, code development, and documentation while validating their outputs. Collaborate with Data Engineers to bring features, models, and agents into production using Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Document methodologies, assumptions, and limitations, and present findings to clients and internal leadership. Requirements At least 5 years of professional Data Science experience delivering models or analyses that inform business decisions. Internships, academic projects, competition entries, and bootcamp work do not count toward this requirement. Strong proficiency in Python and SQL, with hands-on experience using Google Colab or Jupyter Notebook and Python libraries such as pandas, NumPy, and scikit-learn. Hands-on experience developing LLM-based and agentic applications, including prompting, embeddings, retrieval, and agent frameworks or API-based orchestration. Solid understanding of statistics, experimental design, and model evaluation. Experience taking at least one model or analytical product from development into a production or client-facing environment. Proficiency in at least one machine learning framework or library, such as PyTorch, TensorFlow, or XGBoost. Experience with at least one cloud-based ML environment, such as GCP (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), or Databricks (Spark, MLflow). Experience across multiple platforms is an advantage. Ability to clearly communicate technical findings and results to business stakeholders. A Bachelor's degree in a quantitative discipline, such as Statistics, Computer Science, Mathematics, Engineering, or a related field, or equivalent professional experience. An advanced degree is a plus. Advanced English proficiency to support collaboration with global teams.

A role recruited by TechVibe, a technology recruitment company based in Ho Chi Minh City, Vietnam.

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