Principal Data Scientist
Tasks
- Analyze large-scale data
- Automate monitoring for business health
- Build forecasting solutions
- Build metric frameworks
- Collaborate with cross-functional teams
- Communicate insights forecasts and recommendations
- Compare actual performance against forecast
- Conduct business modeling for growth opportunities
- Design and analyze A/B tests
- Detect anomalies and diagnose root causes
- Develop dashboards and reporting tools
- Develop time series models
- Drive data informed business decisions
- Identify trends and user behavior patterns
- Measure incremental impact of algorithm changes
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Business Analytics | Cause analysis | Dashboarding | Data Analysis | Data Processing | Data Visualization | Event data | Event data processing | Experimentation | Forecasting | Machine Learning | Predictive Modeling | PySpark | Root Cause Analysis | Root cause | Scala | Series analysis | Statistical modeling | Time Series | Time Series Analysis
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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