Data Scientist- Machine Learning & AI
Tasks
- Allocate spend
- Build causal inference models
- Build classification models
- Build optimization models
- Build prediction models
- Calibrate AI agent outputs
- Collaborate with stakeholders to define business problems
- Deploy models to production
- Design benchmarks for AI outputs
- Evaluate AI agent outputs
- Extract signals from unstructured data
- Forecast revenue
- Maintain batch modeling pipelines
- Maintain online serving models
- Monitor model performance
- Personalize recommendations
- Predict campaign performance
- Present results to non-technical audiences
- Research and adopt new AI technologies
- Segment users
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Anomaly Detection | BigQuery | Causal Inference | Classification | Computer Vision | Embeddings | GCP | Grafana | LLMs | Machine Learning | NLP | Prefect | Prophet | Python | Regression | SQL | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting | Unsupervised Learning | XGBoost
Education
Roles
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