Full Stack Data Scientist
Model ML- Location
- Los Angeles, CA
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Model ML. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Full Stack Data Scientist at Model ML. This role involves owning the entire data stack end-to-end, including building ETLs, productionizing models, developing AI-friendly data structures, and shipping insights for product, customer, and operational decisions. Responsibilities include managing data pipelines, building the analytics layer with dbt, and developing predictive models for churn, forecasting, and anomaly detection.
Skills and focus areas
- etl
- api integrations
- data pipelines
- data modeling
- machine learning
- predictive analytics
- anomaly detection
- python
- redshift
- github actions
- dbt
- semantic layer
Summary written by Ramai from the original posting. Full details and requirements are on Model ML’s careers page.
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