Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience
Tasks
- Analyze feature usage
- Apply natural language processing
- Assess machine learning models
- Build machine learning solutions
- Communicate insights to business partners
- Create dashboards and reports
- Design A B tests and analyses
- Design metrics and success criteria
- Develop generative model applications
- Evaluate algorithm accuracy
- Mine user feedback data
- Process multilingual data
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Data Visualization | Generative Models | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PySpark | Python | SQL | Splunk | Statistical Analysis | Tableau
Education
Regions
Countries
States
Cities
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