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Data Scientist

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Benefits & Compensation

• Work in a professional, structured environment with many opportunities for advancement.

• 13th-month salary bonus.

• Participation in full insurance packages: Social Insurance (SI), Health Insurance (HI), Unemployment Insurance (UI), and PVI private health insurance.

• Training in both technical skills and soft skills.

• Enjoy exclusive discounts when using products and services within the Vingroup ecosystem, such as Xanh SM (green transportation), Vinmec (healthcare), Vinpearl (resorts), VinFast (automobiles), Vinhomes (real estate), etc.

Job Description

Maintain and optimize internal data infrastructure / MLOps, including:

• Database systems

• Feature extraction pipelines

• Model evaluation & validation

• Model training and tuning

• Model storage

Work with multiple Cloud Computing platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS) to deploy and optimize ML/MLOps systems.

Design, develop, and optimize Machine Learning solutions for various problems such as:

• Pricing strategy

• Matching systems between customers and partners

• Demand & supply forecasting

• Estimated Time of Arrival (ETA) prediction

Develop GenAI applications, such as chatbots to support various departments and business units (P&L).

Closely collaborate with multiple stakeholders, including:

• Product Owners, Business Users

• Data Analysts, Data Engineers, Operations Researchers

...to develop advanced, market-relevant ML products.

Required Experience

• Bachelor's degree in Computer Science, Data Science, or Mathematics.

• A Master’s (MSc) or Ph.D. degree is a significant advantage.

• Proficiency in at least two programming languages among: SQL, Python, Java, C/C++.

• Experience in developing, deploying, and monitoring large-scale ML solutions.

• Experience in building and maintaining MLOps infrastructure using Vertex AI (GCP) is a plus.

• Strong knowledge of modern Deep Learning models and probabilistic models.

• Experience working with Large Language Models (LLMs).

• Experience building and maintaining ML/DL models on tabular data.

• Active participation in Kaggle or high achievements in machine learning competitions is a plus.