Related skills
forecasting etl postgresql sql mysql📋 Description
- Work with program, product, engineering, and policy teams to shape data questions.
- Build, evaluate, and deploy predictive models to forecast trends.
- Build and maintain data pipelines and models for analytics and reporting.
- Develop data workflows and algorithms for cleaning, transforming, and validating data.
- Design metrics, dashboards, and experiments to measure outcomes.
- Apply statistical and ML methods to analyze data and inform design.
🎯 Requirements
- Python for data analysis, modeling, and visualization
- SQL skills; relational databases (Postgres, MySQL)
- Predictive or statistical models (regression, classification, clustering, time-series)
- ETL/ELT pipelines and messy real-world datasets
- Data validation, model evaluation, and experiment design
- Translate data findings into actionable recommendations
🎁 Benefits
- Health coverage: medical, dental, and vision
- 401(k) match: 4%
- Flexible remote-first work with home office setup
- Sabbatical leave after extended continuous service
- Learning opportunities: LinkedIn Learning and courses
- Parental leave and time off for holidays
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