Staff Data Scientist
Tasks
- Build and operate end to end machine learning systems
- Create data and feature pipelines
- Deploy batch or online inference
- Design experiments and quasi-experiments
- Develop models and validate performance
- Establish standards for testing reproducibility and observability
- Lead applied machine learning initiatives
- Measure causal impact and business value
- Mentor data scientists and review technical work
- Monitor models and handle failures
- Optimize pricing and revenue decisions
- Support forecasting demand and price elasticity estimation
- Translate business needs into decision frameworks
Perks/Benefits
- 401k match
- Employee resource groups
- Generous PTO
- Learning and development resources
- Medical/Dental/Vision insurance
- Mental health visits
- Paid Holidays
- Paid parental leave
- Pet insurance
- Sick leave
- Travel credit
Skills/Tech-stack
Airflow | Causal Inference | DBT | Data Pipelines | Demand forecasting | Deployment | Econometrics | Experiment design | Experimentation | Feature Engineering | MLOps | Machine Learning | Model Monitoring | Optimization | Price elasticity | Python | SQL | Snowflake | Statistics
Education
Roles
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