Data Scientist – Predictive Analytics, IoT & AI Applications
LOC3344: 7-8/F, Building N1, Fusion New Bund, No. 8, Lane 131, New Bund Avenue, Pudong, Shanghai, China
CNY 192K-233K (estimate) Mid-level Full Time
Tasks
- Build and deploy predictive models
- Build and maintain LLM based applications
- Build data dashboards and visualizations
- Conduct data cleaning and feature engineering
- Develop and maintain cloud data pipelines
- Develop hybrid systems with business logic
- Document analysis processes model designs and results
- Evaluate and test GenAI tools and APIs
- Execute end to end machine learning workflows
- Maintain code quality and version control with Git
- Perform exploratory data analysis
- Perform prompt engineering and RAG development
- Perform time series anomaly detection
- Support industrial IoT data ingestion analytics
- Translate business problems into analytical frameworks
- Write and optimize SQL queries
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Azure Data | Azure Data Factory | Classification | Clustering | Data Analysis | Data Factory | Data Quality | Data Visualization | Data cleaning | Data pipeline | Databricks | Ensemble Methods | Exploratory Data Analysis | Feature Engineering | Git | Langchain | Machine Learning | Matplotlib | Model Evaluation | NumPy | OpenAI API | Pandas | Power BI | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Series analysis | Tableau | Time Series | Time Series Analysis
Education
Roles
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