Data Scientist
Tasks
- Build and deploy applied data science models
- Build data pipelines for consumer graph and AI agent workflows
- Build probabilistic models for consumer attributes
- Build production data workflows and data quality checks
- Collaborate with engineering product and stakeholders to productionize models
- Deploy models into production environments
- Design feature engineering pipelines at terabyte scale
- Develop and maintain consumer identity attributes
- Monitor model outputs and production performance
- Stitch third party data into unified consumer profiles
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | DBT | Dagster | Data Quality | Data Warehousing | Databricks | Feature Engineering | Machine Learning | Model Evaluation | Model Validation | PostgreSQL | Probabilistic Modeling | Python | Redshift | S3 | SQL | Snowflake | Statistical inference
Education
Roles
Regions
Countries
States
Cities
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