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Senior/Lead Data Scientist

Vingroup · Hồ Chí Minh

Loại hình

Toàn thời gian

Hình thức

Tại văn phòng

Cấp bậc

Nhân viên

Ngành nghề

CNTT - Phần mềm

Phòng ban

VinSmart Future

Kinh nghiệm

Từ 4 năm

Mức lương

Thương lượng

Địa điểm

Thành phố Hồ Chí Minh, Hồ Chí Minh

Tổng quan

Position Summary
We are looking for a Senior/Lead Data Scientist with deep expertise in tabular data modeling, predictive analytics, and business intelligence. This role focuses on extracting actionable insights from structured datasets, developing scalable machine learning models, and improving decision-making across business operations.
Develop predictive ML/AI models and advanced analytics solutions using structured/tabular datasets.
Analyze large-scale relational data from business systems, customer platforms, financial records, and operational databases.
Design and optimize machine learning pipelines for classification, regression, forecasting, and anomaly detection tasks.
Perform feature engineering, data cleaning, imputation, and data quality validation on structured datasets.
Collaborate with data engineers and analysts to improve data architecture and dataset usability.
Build scalable solutions using SQL, Python, and distributed data processing frameworks.
Conduct A/B testing and statistical analysis to support product and business decisions.
Communicate analytical findings through dashboards, reports, and executive presentations.
Mentor junior team members and establish best practices for structured data modeling and experimentation.

Master’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
4+ years of experience working with structured/tabular data in production environments.
Strong Python programming skills using Pandas, NumPy, Scikit-learn, and related libraries.
Solid understanding of statistics, hypothesis testing, and experimental design.
Experience handling high-volume datasets in cloud or distributed environments.
Ability to translate business problems into measurable analytical solutions.
Experience with customer analytics, risk modeling, forecasting, or recommendation systems.
Familiarity with feature stores and MLOps workflows.
Knowledge of cloud platforms including AWS, Azure, or Google Cloud.

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