Data Scientist II
Tasks
- Analyze large datasets
- Communicate results to stakeholders
- Conduct A/B testing
- Design predictive models
- Detect outliers
- Develop algorithms for risk prediction
- Develop data visualizations
- Develop feature engineering
- Integrate models with existing solutions
- Mine structured data
- Mine unstructured data
- Operationalize model pipelines
- Perform exploratory data analysis
- Perform statistical validation
- Validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Clustering | Data Analysis | Databricks | Decision Trees | Dimensionality Reduction | Excel | Exploratory Data Analysis | Feature Engineering | GCP | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Power BI | Predictive Modeling | Python | R | SQL | Sampling Methodologies | Significance Testing | Snowflake | Statistical significance | Statistical significance testing
Education
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