DATA SCIENTIST
Hạn nộp hồ sơ: 24/11/2026 (Còn 9 ngày)
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Location: Ho Chi Minh, Vietnam
Company: TC Data
Type: Full-time
About Us
TC Data is a fast-growing provider of Data & AI services, specializing in Microsoft Fabric, Azure, Power BI, and Machine Learning solutions. We help businesses unlock business insights through innovative Data Lakehouse, BI, and AI technologies.
Role Overview
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.
Key Responsibilities
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.
Preferred Qualifications
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.
Why Join TC Data?
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.
How to Apply
Please send your resume and a cover letter detailing your experience and expertise to [protected info].
Company: TC Data
Type: Full-time
About Us
TC Data is a fast-growing provider of Data & AI services, specializing in Microsoft Fabric, Azure, Power BI, and Machine Learning solutions. We help businesses unlock business insights through innovative Data Lakehouse, BI, and AI technologies.
Role Overview
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.
Key Responsibilities
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.
Preferred Qualifications
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.
Why Join TC Data?
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.
How to Apply
Please send your resume and a cover letter detailing your experience and expertise to [protected info].
Thông tin chung
- Thu nhập: Thỏa thuận
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CÔNG TY TNHH ROSEN ENGINEERING VIETNAM
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Xem trang công ty- Địa chỉ công ty: 12 Tân Trào, P. Tân Phú, Q.7, TPHCM
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