Data Scientist (Python & SQL) - Freelance AI Trainer
Tasks
- Address business use cases like forecasting and fraud detection
- Apply SQL for data manipulation and analysis
- Assess deployment considerations and MLOps practices
- Build predictive modeling workflows
- Create end to end data science pipeline problems
- Design computational data science problems
- Develop reproducible answer datasets
- Implement Python solutions for data analysis
- Perform statistical analysis and feature engineering
- Validate solutions and document results
Perks/Benefits
Skills/Tech-stack
Data Analysis | Data Ingestion | Data Visualization | Data cleaning | Deep learning | Exploratory Data Analysis | Feature Engineering | Forecasting | Fraud Detection | Langchain | MLOps | Machine Learning | Matplotlib | Model Validation | NumPy | Optimization | Pandas | Predictive Modeling | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Seaborn | Statistical Analysis | StatsModels | TensorFlow | Vector Databases
Education
N/A
Roles
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