Data Scientist
Tasks
- Build and productionize predictive models
- Build data products models and deliverables
- Collect process analyze large datasets
- Conduct exploratory data analysis
- Create data visualizations and reports
- Develop AI prototypes
- Develop data models using advanced statistics
- Develop machine learning models
- Develop time-series forecasting models
- Maintain data quality and integrity
- Present results to stakeholders
- Support data governance compliance
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Spark | Bayesian Methods | Cloud platform | Component analysis | Decision Trees | Deep learning | Forecasting | Git | GitHub | Google Cloud | Google Cloud Platform | Gradient boosting | Hadoop | Hypothesis Testing | Language Processing | Likelihood estimation | Logistic Regression | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | Principal Component Analysis | Python | Random Forests | Reinforcement Learning | Relational databases | SQL | Sampling theory | Support Vector Machines | Time Series | Vector machines | Web Services
Education
Roles
Regions
Countries
States
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