Sr Applied Data Scientist/Engineer, Decision Intelligence
Tasks
- Build features and datasets in Snowflake
- Define offline and online evaluation
- Deploy models into production
- Design A B tests and causal analyses
- Develop models for tabular supervised learning
- Embed ML into product workflows
- Evaluate whether ML is appropriate
- Explain model decisions to product and business teams
- Forecast and optimize customer outcomes
- Learn customer domain semantics
- Monitor model performance and drift
- Own ML outcome for customer decisions
- Rank and recommend based on operational data
- Report realized business impact to stakeholders
- Test and version ML pipelines
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Professional training resources
- Remote work flexibility
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Causal Inference | DBT | Deployment | Drift Detection | Feature Engineering | Forecasting | LightGBM | Machine Learning | Model Drift | Model Drift Detection | Monitoring | Optimization | Prophet | Python | Ranking | Recommendation | SQL | Scikit-learn | Snowflake | StatsModels | Supervised Learning | Tabular Data | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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