Staff Data Scientist
Tasks
- Build and deploy agentic and large language model automation
- Define model evaluation and production promotion criteria
- Deliver probabilistic forecasts for pricing and planning
- Deploy version and monitor production models with machine learning engineering
- Design and analyze pricing field experiments
- Establish observability for models and agents in production
- Mentor data scientists and present results to stakeholders
- Own demand and price response modeling end to end
- Serve as technical design reviewer for pricing programs
- Set orchestration standards for scheduled workloads
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Agentic Systems | Alerting | Automated testing | B testing | Continuous integration | Cost monitoring | DBT | Dagster | Data Drift | Demand forecasting | Git | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model Registry | Model calibration | Power analysis | Price Response Modeling | Probabilistic Forecasting | Python | Randomization | Reinforcement Learning | Response Modeling | SQL | Snowflake | Streamlit | Tableau
Education
Roles
Regions
Countries
States
Cities
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