锦鲤求职锦鲤求职

星巴克

Senior Data Scientist(J103181)

  • 社招
  • 深圳
  • 人工智能
  • 发布于 2026-08-04
原岗位链接 ↗

岗位描述

岗位职责
ML Solution Design & Deliver
◆ Design and implement machine learning solutions aligned with business requirements and data technology roadmap
◆ Independently drive end-to-end delivery of ML projects, from data processing to model deployment
◆ Select appropriate modeling approaches and engineering solutions for different use cases
Model Engineering & System Implementation
◆ Develop, optimize, and deploy machine learning models into production environments
◆ Build and maintain model inference services and data pipelines
◆ Ensure system reliability, scalability, and performance for ML applications
Technical Execution & Exploration
◆ Conduct PoC independently to evaluate new approaches and technologies (e.g., LLM
applications)
◆ Continuously improve model performance and engineering efficiency
◆ Stay up to date with emerging AI/ML technologies and apply them when appropriate
Collaboration & Communication
◆ Work closely with business stakeholders and cross-functional teams to translate requirements into technical solutions
◆ Communicate technical concepts effectively in business-friendly language
Provide technical support for multiple internal use cases
◆ Oversees training and development of partners directly and indirectly managed and makes
effective staffing decisions.
◆ Provides coaching, direction and leadership support to team members in order to achieve
partner, business and customer results.

岗位要求
◆ Strong programming skills in Python
◆ Strong experience with machine learning frameworks (e.g., scikit-learn, XGBoost, PyTorch)
◆ Solid knowledge of data processing and feature engineering (pandas, numpy)
◆ Proficiency in SQL and experience with relational databases
◆ Experience deploying ML models or building inference systems in production
◆ Experience with LLM applications (e.g., RAG, prompt engineering, LLM integration)
◆ Experience in retail / catering / consumer-related industries
◆ Knowledge of time-series forecasting or attribution modeling
◆ Familiarity with distributed data processing or big data frameworks
◆ Experience with visualization tools (Tableau, Power BI)
◆ Familiar with Git and standard software development practices

人工智能方向的申请准备

先核对岗位要求与自己的经历,再准备档案、投递和面试。

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