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← Saint-Gobain Vietnam Co., Ltd

Data Scientist

Saint-Gobain Vietnam Co., Ltd · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
IT - Software
Salary
Thương lượng
Location
Hồ Chí Minh, Hồ Chí Minh, Hồ Chí Minh

Overview

  • Data Analytics & Dashboarding (~20-30% of time)
  • Build and maintain Power BI dashboards to visualize results and insights from AI/ML models for business stakeholders (Power BI is a must-have skill).
  • Guide and support end-users from other Departments in designing and building their own Power BI dashboards.
  • Ensure dashboards are accurate, user-friendly, and aligned with business reporting needs.
  • AI/ML Model Development (~70-80% of time)
  • Build and maintain AI/ML models, such as Forecasting Models and Recommender Systems, to support business applications.
  • Collect, process, clean, and standardize data from various sources for use in AI/ML models and dashboards.
  • Research and apply appropriate algorithms and techniques to solve business forecasting and recommendation problems.
  • Model Evaluation & Optimization
  • Evaluate model performance using appropriate metrics and validation techniques, and fine-tune models for specific use cases.
  • Optimize models for accuracy, stability, and scalability.
  • Conduct A/B testing and model comparisons to select the best solution.
  • AI/ML Project Management
  • Collaborate on and manage AI/ML projects to meet business requirements and project timelines.
  • Coordinate with stakeholders to define project scope, priorities, and deliverables.
  • Track project progress and proactively flag risks, delays, or resource needs.
  • Collaboration with Cross-functional Teams
  • Collaborate with cross-functional teams (Business, IT, Operations, etc.) to identify needs and translate them into analytical and AI/ML solutions.
  • Communicate technical concepts, model results, and dashboard insights to non-technical stakeholders.
  • Provide guidance and support to end-users on data analytics tools and dashboard best practices. Collaborate with Finance, Sales, Marketing, SCM, Purchasing, Operations, Technical, Internal Control, IT and other teams to ensure data-driven decision-making.
  • Document model development processes, dashboard designs, and analytical results.
  • Prepare regular reports on project outcomes, model performance, and business impact.
  • Maintain clear and comprehensive technical documentation for future reference.
  • Stay updated with the latest advancements in Data Science, AI/ML, and data visualization tools such as Power BI.
  • Propose and implement innovative solutions to improve business processes.
  • Participate in knowledge sharing and training sessions within the organization.
  • Ensure AI/ML models and dashboards comply with relevant data privacy, security, and ethical standards.
  • Assess and mitigate risks related to bias, fairness, and transparency in AI models.
  • Continuously monitor and improve existing AI/ML models and dashboards.
  • Gather feedback from users and stakeholders to enhance solution effectiveness.
  • Identify opportunities for automation and process optimization using AI and data analytics.

Benefits

Training

Summary of facts from the official posting. View original ↗

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