Staff Data Scientist
Tasks
- Build and scale LTV models for real time decisioning
- Communicate analytical insights and tradeoffs to executives
- Define data instrumentation and feature store requirements
- Develop and deploy personalization models for ranking and offer selection
- Develop model monitoring frameworks for drift bias and stability
- Establish incrementality experimentation and measurement methodologies
- Influence data and ML platform architectural decisions
- Lead causal inference framework design and implementation
- Mentor data scientists and raise technical bar
- Set experimentation modeling code quality and reproducibility best practices
- Shape long term strategy for personalization and AI driven growth
- Ship production machine learning models for marketplace optimization
- Translate predictive outputs into decision ready real time signals
Perks/Benefits
- 401k company match
- Cell phone stipend
- Co-working Space Subsidy
- Disability insurance
- Employee resource groups
- Financial wellness program
- Flexible vacation time off
- Hackathons
- Life insurance
- Medical/Dental/Vision insurance
- Mental health support
- Paid leave
- Paid sabbatical
- Volunteer time off
- Wellness stipend
- WiFi Stipend
- Work from home equipment stipend
Skills/Tech-stack
A/B | A/B Testing | AWS | Advanced SQL | Airflow | Azure | B testing | Bayesian time series | Causal Inference | Churn modeling | Contextual Bandits | DBT | Databricks | Difference-in-differences | Distributed Systems | Doubly-robust estimation | Experimentation | Feast | Feature Stores | GCP | Git | Instrumental Variables | Kafka | Kinesis | LTV modeling | LightGBM | MLflow | Machine Learning | Model Monitoring | NumPy | Pandas | Personalization | Power analysis | PySpark | Python | Ranking Systems | Reinforcement Learning | Scikit-learn | Series analysis | Snowflake | Spark | Statistical diagnostics | Synthetic control | Tecton | Time Series | Time Series Analysis | Uplift Modeling | Version control | XGBoost
Education
N/A
Roles
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