Data Scientist
Tasks
- Build and implement data pipelines using PySpark SQL and cloud solutions
- Communicate technical findings to technical and non technical stakeholders
- Deploy monitor and improve machine learning models in production
- Design and maintain data warehouse solutions for advanced analytics
- Develop and optimize machine learning models for time series forecasting
- Evaluate model performance using MAPE RMSE R2 and improve accuracy
- Integrate data using Boomi SnapLogic SSIS or Palantir
- Model and process data using Palantir Foundry and Google Cloud tools
- Perform ETL and data transformations for structured and unstructured data
- Perform feature engineering and data model optimization
Perks/Benefits
- 401k
- Comprehensive health plan
- Discount programs
- Educational assistance
- Employer paid disability coverage
- Employer-paid life insurance
- HSA
- Paid leave
- Parental leave
- Parental leave benefits
- Teammate Assistance Program
Skills/Tech-stack
ARIMA | AutoAI | BigQuery | Boomi | Cloud Functions | Data Lakes | Data Pipelines | Data Transformation | Data Warehousing | Data integration | ETL | Feature Engineering | Google Cloud | Google Colab | Hyperparameter Tuning | LSTM | MAPE | MLOps | Machine Learning | Model Evaluation | Model Optimization | Palantir Foundry | Prophet | PySpark | Python | R2) | RMSE | Relational databases | SQL | SSIS | Series forecasting | SnapLogic | Time Series | Time Series Forecasting | Vertex AI
Education
N/A
Roles
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