Data Scientist
Tasks
- Build data pipelines for data integration
- Collaborate with business stakeholders
- Communicate technical findings
- Deploy and monitor machine learning models in production
- Design and maintain data warehouse solutions
- Develop and optimize machine learning models
- Evaluate model performance using metrics
- Extract, transform and load data
- Improve machine learning models continuously
- Perform complex data transformations using SQL
- Perform feature engineering
- Process data using data platforms
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AutoAI | Batch Processing | BigQuery | Cloud Computing | Cloud Functions | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Transformation | Data Warehousing | ETL | Feature Engineering | Google Cloud | Google Colab | Hyperparameter Tuning | LSTM | MLOps | Machine Learning | Model Evaluation | Model Optimization | Palantir Foundry | Prophet | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Series forecasting | Time Series | Time Series Forecasting | Vertex AI
Education
N/A
Roles
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