Data Scientist
USD 144K-191K (estimate) Senior-level Full Time
Tasks
- Analyze large datasets for trends and anomalies
- Build scalable data pipelines
- Build time series forecasting solutions
- Communicate insights to technical and non-technical stakeholders
- Conduct exploratory data analysis
- Conduct model validation and backtesting
- Create dashboards and reporting
- Deploy machine learning solutions to production
- Design machine learning models for forecasting
- Develop and benchmark predictive models
- Implement model monitoring drift detection retraining
- Mentor junior team members
- Monitor model performance
- Perform feature engineering
- Run experiments and statistical investigations
- Translate business problems into data-driven solutions
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS SageMaker | Azure Machine Learning | Backtesting | Bayesian Modeling | CI/CD | Cloud AI | Cross-validation | Data Pipelines | Databricks | Drift Detection | Exogenous Variables | Feature Engineering | Google Cloud | Google Cloud AI | Gradient boosting | Jupyter | Lag Features | MAE | MAPE | MLOps | Machine Learning | Model Monitoring | Model Validation | Neural Networks | Power BI | Predictive Analytics | Probabilistic Forecasting | Prophet | Python | RMSE | Random Forest | Retraining | Rolling Statistics | SARIMA | SQL | Seasonality analysis | Series forecasting | Statistical modeling | Streamlit | Tableau | Time Series | Time Series Forecasting | Trend Decomposition | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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