Principal Applied Scientist
Tasks
- Apply machine learning methods
- Build data pipelines
- Collaborate with data scientists
- Communicate complex analyses
- Communicate results to stakeholders
- Create risk indicators
- Design KPIs
- Design experiments and analyze results
- Develop forecasting models
- Develop scalable models
- Develop scenario tools
- Drive model adoption
- Formulate optimization problems
- Identify leading indicators
- Improve data quality
- Manage data governance
- Manage stakeholder relationships
- Model supply risks
- Partner with cross-functional teams
- Perform tradeoff analysis
- Quantify uncertainty
- Research and validate data
- Translate business questions into hypotheses
- Translate demand into capacity requirements
Perks/Benefits
- 401k plan
- Adoption Assistance
- Auto insurance
- Dental insurance
- Dependent care FSA
- Employee stock purchase plan
- Financial planning
- Health care FSA
- Homeowner insurance
- Legal services
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Pet insurance
- Pre-tax commuter benefits
- Pre-tax parking benefits
- Short-term disability
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Analysis | Data Engineering | Data Modeling | Data Validation | ELT | ETL | Feature Engineering | Forecasting | Looker | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Optimization | Pandas | Power BI | Python | SQL | Scenario Analysis | Statistical Analysis | Tableau
Education
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