Data Scientist
New York, New York, United States
USD 140K-160K (estimate) Senior-level Full Time
Tasks
- Build customer segmentation and targeting models
- Build maintain analytics logic and assumptions
- Collaborate on Workshop app development
- Design build and maintain predictive models
- Document methodologies and assumptions
- Operationalize models in Palantir Foundry
- Support human-in-the-loop workflows
- Translate business needs into model driven insights
- Validate model outputs against business reality
Perks/Benefits
Skills/Tech-stack
Campaign targeting | Causal Inference | Churn Prediction | Classification | Code Repository | Code-Workbook | Customer Lifetime Value | Customer Segmentation | DBT | Data Governance | Data Modeling | Experiment design | Human-in-the-loop | Lifetime Value | Optimization | Palantir Code Repository | Palantir Code Workbook | Palantir Foundry | Palantir Ontology | Propensity Modeling | Python | Regression | Retail Analytics | SQL | Semantic data | Semantic data modeling | Series forecasting | Snowflake | Snowpark | The Loop | Time Series | Time Series Forecasting
Education
N/A
Roles
Data Scientist | Decision Science Engineer | Engineer | Scientist
Regions
Countries
States
Cities
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