Data Scientist with Python expertise in New York
Tasks
- Author AI assisted insight narratives
- Build and maintain multi touch attribution models
- Build behavioral micro cohort clustering models
- Build geo level DMA performance models
- Build probabilistic identity linkage models
- Create SHAP based feature importance pipelines
- Design holdout and matched market test frameworks
- Design suppression and lookalike model pipelines
- Design system prompts and structured output schemas
- Develop cohort level LTV CAC scoring models
- Develop model evaluation pipelines
Perks/Benefits
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Bayesian Methods | BigQuery | CAC modeling | Causal Inference | Clean rooms | Cohort Analysis | Cross device | Cross-device attribution | Data Clean Rooms | Databricks MLFlow | Experiment design | Identity resolution | Incrementality testing | LLM API | LTV/CAC | LTV/CAC modeling | Language Processing | LightGBM | Media mix modeling | Mix Modeling | Multi-Touch Attribution | Multi-touch) | Natural Language | Natural Language Processing | Pandas | Propensity scoring | Python | Redshift | SHAP | SQL | SageMaker | Scikit-learn | Snowflake | StatsModels | Survival analysis | Vertex AI | XGBoost
Education
N/A
Roles
Regions
Countries
States
Cities
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