Data Scientist
Tasks
- Analyze structured and unstructured data
- Build predictive and prescriptive models
- Clean and organize data with engineers
- Co-develop analytics roadmap
- Communicate analytics approach to business partners
- Create data science and analytics assets
- Define data assets and data models
- Deploy and maintain scalable models
- Generate and evaluate experiments using scientific method
- Integrate models into user facing tools
- Lead analytic studies
Perks/Benefits
Skills/Tech-stack
Bayesian statistics | Causal Inference | Classification | Cloud platform | Clustering | DB2 | Dash | Data Pipelines | Data Visualization | Decision Tree | Dimensionality Reduction | ELT | ETL | Ensembling | Feature Selection | Ggplot2 | Google Cloud | Google Cloud Platform | Language Processing | Machine Learning | Matplotlib | MySQL | NLP | Natural Language | Natural Language Processing | Oracle | Plotly | PostgreSQL | PyTorch | Python | R | Random Forest | Regression | SQL | Scikit-learn | Shiny | Spark | Stacking | Supervised Learning | Support Vector Machine | Tableau | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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