Principal Advanced Analytics
Tasks
- Apply time series forecasting and machine learning
- Build automated forecasting pipelines and reduce manual effort
- Build forecasting models for gross adds disconnects and net adds
- Conduct forecast diagnostics across segments and markets
- Design and implement statistical and machine learning models in Python
- Design forecasting frameworks for seasonality promotions pricing and marketing
- Develop forecasting methodologies and predictive models
- Develop scalable forecasting processes across products channels and markets
- Evaluate model performance using back testing error analysis and validation
- Monitor forecast accuracy and diagnose forecast variance drivers
- Present forecast results risks opportunities and business implications to senior leaders
- Translate analytics into executive ready narratives and recommendations
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance programs
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
ARIMA | Agentic Workflows | Automation | Backtesting | Causal modeling | Databricks | Ensembles | Error Analysis | Feature Engineering | Forecast accuracy | Gradient boosting | Machine Learning | Model Validation | Predictive Analytics | Prophet | Python | SQL | Seasonality | Series forecasting | Snowflake | Statistical modeling | Time Series | Time Series Forecasting
Education
Roles
Regions
Countries
States
Cities
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