Data Scientist- Machine Learning & AI
Tasks
- Allocate spend
- Benchmark AI agent outputs
- Build causal inference models
- Build classification models
- Build optimization models
- Build prediction models
- Calibrate AI agent outputs
- Collaborate with stakeholders on business problems
- Deploy models to production
- Design batch serving pipelines
- Design online serving pipelines
- Evaluate AI agent outputs
- Extract signals from photos
- Extract signals from unstructured data
- Extract signals from user prompts
- Extract signals from video
- Forecast revenue
- Monitor model performance
- Predict campaign performance
- Provide personalization recommendations
- Research and adopt AI models
- Segment users
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | BigQuery | Causal Inference | Classification | Computer Vision | Data Modeling | Embeddings | GCP | Grafana | LLMs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Prefect | Prophet | Python | Regression | SQL | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting | XGBoost
Education
Roles
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