Senior Data Scientist(J103181)

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.

◆ 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