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TC Data Logo TC Data · IT - Software Development

Data Scientist

Vietnam, Ho Chi Minh · Job Posted January 17, 2026
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Job Description

We are looking for a Data Scientist who is passionate about applying machine learning to solve real-world business problems such as sales forecasting, demand prediction, and optimization modeling. This role will work closely with cross-functional teams to design, develop, and deploy advanced analytics models that drive tangible business outcomes.

Job Responsibility

  • Develop predictive models for business use cases such as Sales Forecasting, Demand Planning, Inventory Optimization, etc.
  • Design optimization algorithms to improve resource allocation, pricing strategies, and operational efficiency
  • Perform data preprocessing and feature engineering on structured and unstructured datasets
  • Deploy and monitor machine learning models in production environments (using Azure Machine Learning or similar platforms)
  • Collaborate with business stakeholders to understand requirements, define success criteria, and translate them into analytical solutions
  • Communicate insights and model results to both technical and non-technical audiences through reports, dashboards, or presentations
  • Continuously research and experiment with new techniques to enhance model performance and reliability

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields
  • 2+ years of practical experience building machine learning models for business applications (especially time-series forecasting and optimization problems)
  • Solid understanding of Supervised Learning, Time Series Modeling (ARIMA, Prophet, LSTM, etc.), Optimization Techniques (Linear Programming, Heuristic Methods, etc.)
  • Hands-on experience with Python, SQL, and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Experience working with Azure Machine Learning, Databricks, or other cloud-based ML platforms is a strong plus
  • Familiarity with MLOps practices and deployment techniques is a bonus
  • Strong analytical thinking, problem-solving skills, and business acumen

Nice to have

  • Experience with sales forecasting models or inventory/demand optimization projects
  • Experience integrating models with Power BI, Microsoft Fabric, or similar BI tools
  • Knowledge of model explainability techniques (e.g., SHAP, LIME) to build trust with business users
  • Understanding of data engineering concepts (ETL/ELT pipelines) is a plus

What we offer

  • Work on real-world, high-impact Data & AI projects
  • Opportunity to innovate and lead AI-driven initiatives for top enterprise clients
  • Competitive salary and performance-based bonus
  • Professional training and certifications supported (Microsoft Azure AI, Machine Learning, etc.)
  • A collaborative, agile, and innovation-driven work culture
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