Data Scientist
Tasks
- Build visualizations and reports
- Collaborate with data engineers and AI engineers
- Document data sources assumptions and experiments
- Engineer features for tabular and time series
- Evaluate models using business KPI metrics
- Frame forecasting and classification problems
- Perform exploratory data analysis
- Prepare and clean data
- Support deployment with batch scoring APIs and monitoring
- Train, validate, and tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Causal Inference | Cloud platform | Data Analysis | Databricks | Decision Trees | Distributed Computing | Ensemble learning | Exploratory Data Analysis | Feature Engineering | Google Cloud | Google Cloud Platform | Gradient boosting | Hyperparameter Tuning | Logistic Regression | MLOps | Machine Learning | Model Evaluation | Model Validation | Neural Networks | OOP | Python | SQL | Series forecasting | Time Series | Time Series Forecasting
Education
N/A
Roles
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