商務分析與模型工程師
Description
Responsibilities:
- Perform data analysis, data processing, and feature engineering for business forecasting and modeling use cases.
- Design, build, and maintain predictive models for demand forecasting, financial forecasting, or pricing analysis.
- Develop analytical models to support business decisions such as demand planning, profitability analysis, and pricing strategy.
- Conduct model evaluation, scenario simulation, and sensitivity analysis to support management decision-making.
- Develop data pipelines and analytical workflows using Python and SQL.
- Collaborate with business, finance, sales, and operations teams to define model assumptions and ensure practical usage.
- Integrate models and analytical results into reports, systems, or automated workflows.
- Continuously improve model accuracy, stability, and maintainability.
Requirements:
- Strong data analysis and quantitative modeling skills.
- Proficiency in Python and SQL for data processing and model development.
- Solid understanding of at least one of the following domains: demand forecasting, financial modeling, or pricing analysis.
- Ability to translate business questions into analytical or modeling solutions.
- Experience with predictive modeling, forecasting, or statistical analysis.
- Experience with machine learning or model deployment practices.
- Experience with system integration, automated reporting, or data pipelines is a plus.

