Sr Applied Data Scientist/Engineer, Decision Intelligence
Tasks
- Build and ship models in production
- Create features in Snowflake and dbt
- Decide if ML is appropriate
- Define offline and online evaluation
- Deploy and operate models
- Design A B tests and causal analysis
- Detect and manage prediction drift
- Frame ambiguous customer problems
- Integrate ML into product workflows
- Learn customer domain semantics
- Monitor model drift and reliability
- Own model outcome
- Partner with product managers and software engineers
- Report realized business impact in metrics
- Test and version model releases
Perks/Benefits
- 401k with company match
- Casual work environment
- Health and dental insurance
- Live trainings
- Remote work flexibility
- Time to insight focus
- Video libraries for training
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Causal Inference | DBT | Data Pipelines | Drift Detection | Feature Engineering | Forecasting | LightGBM | Model Drift | Model Drift Detection | Model Monitoring | Optimization | Prophet | Python | Ranking | Recommendation | SQL | Scikit-learn | Snowflake | StatsModels | Supervised Learning | XGBoost
Education
N/A
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