Data Scientist
Tasks
- Clean and prepare data
- Collaborate on model deployment
- Create data visualizations
- Define success metrics
- Deliver reports to business stakeholders
- Develop classification models
- Develop forecasting models
- Document data sources and modeling assumptions
- Engineer features for tabular data
- Engineer features for time series data
- Evaluate models using business metrics
- Monitor model performance
- Participate in requirements gathering
- Perform exploratory data analysis
- Support API development
- Support batch scoring
- Train, validate, and tune machine learning models
- Translate business needs into technical goals
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Causal Machine Learning | Cloud platform | Data Analysis | Data Preparation | Databricks | Decision Trees | Deep learning | Distributed Computing | Ensemble learning | Exploratory Data Analysis | Feature Engineering | Google Cloud | Google Cloud Platform | Gradient boosting | Hyperparameter Tuning | Logistic Regression | MLOps | Machine Learning | Microsoft Azure | Model Validation | Neural Networks | Object-Oriented | Object-oriented programming | Python | Reinforcement Learning | SQL | Series analysis | Time Series | Time Series Analysis
Education
N/A
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