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At EPAM Vietnam, we are seeking an experienced Data Scientist to join our dynamic team for a critical knowledge transfer and model optimization project. This role focuses on migrating an existing demand forecasting system, ensuring algorithmic integrity and business relevance as the model is migrated to a new Python-based application. You will play a key role in validating, fine-tuning and optimizing forecasting models that drive business value.
This exciting project involves collaboration with a prestigious client, offering opportunities to work on global initiatives with a supportive international team. You will have the chance to participate in innovative AI projects within the retail and supply chain sectors.
- Conduct a thorough review of the existing demand forecasting algorithm during the transfer process
- Analyze and validate the model’s performance and accuracy in both its original (R) and converted (Python) states
- Fine-tune model parameters and potentially its architecture to align with evolving business requirements and data patterns
- Perform rigorous statistical analysis and validation to ensure the model meets accuracy targets
- Collaborate closely with Machine Learning Engineers to guide the conversion from a statistical and algorithmic perspective
- Document model performance, changes made and recommendations for future improvements
- Translate business needs into technical model requirements and solutions
- Stay up-to-date with the latest developments in data science and forecasting methodologies
- At least 5 years of experience as a Data Scientist or in a similar analytical role, with a degree in computer science, statistics, mathematics or equivalent
- Proven experience with model evaluation, validation and fine-tuning
- Strong expertise in statistical analysis, machine learning algorithms and model performance metrics
- Proficiency in Python for data science (Pandas, NumPy, Scikit-learn, Statsmodels) and familiarity with R to understand the original model’s logic
- Solid experience with time-series analysis and forecasting methodologies
- Proficient in both spoken and written English (B2 and above levels), with a proactive and collaborative attitude
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