Data Scientist
Tasks
- Build dashboards and visualizations
- Communicate insights to stakeholders
- Conduct exploratory data analysis
- Develop machine learning models
- Document model findings
- Evaluate models using statistical methods
- Integrate models into production
- Maintain code and experiment history
- Optimize model performance
- Perform feature engineering
- Prepare datasets for modeling
- Stay current with data science methods
- Work with data engineers on data pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Visualization | Databricks | Experiment design | Feature Engineering | Google Cloud | Google Cloud Platform | LLMOps | MLOps | Machine Learning | Matplotlib | Model Evaluation | Model Validation | NumPy | Pandas | Power BI | Probability | PyTorch | Python | SQL | Scikit-learn | Seaborn | Statistics | Tableau | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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