Data Scientist
Tasks
- Build predictive machine learning models end to end
- Collaborate with customer success product and data engineering
- Conduct time series analysis
- Create reports and slide decks for non technical audiences
- Deploy and monitor production model performance
- Interpret model outputs for stakeholders
- Perform causal inference
- Run statistical hypothesis tests
- Translate business questions into analytical frameworks
- Trigger retraining for deployed models
- Tune regression and classification models
- Use SHAP for model interpretability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | BigQuery | Causal Inference | Docker | Gradient boosting | Hypothesis Testing | Language Processing | Machine Learning | Machine learning lifecycle | Model Interpretability | Natural Language | Natural Language Processing | Python | Random Forests | Regression | SHAP | SQL | Sentiment Analysis | Series analysis | Snowflake | Statistical Analysis | Supervised Learning | Time Series | Time Series Analysis | TypeScript
Education
N/A
Roles
Regions
Countries
States
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