Data Scientist- Applied AI
Tasks
- Analyze data for trends
- Assess data source accuracy
- Build and evaluate ML and AI models
- Collaborate on deployment and MLOps
- Coordinate feature engineering
- Develop APIs for model inference
- Document code and models
- Explain model behavior
- Improve model accuracy
- Monitor model performance
- Preprocess data
- Present insights via notebooks and dashboards
- Track model and data versions
Perks/Benefits
- 401k
- Campus amenities
- Dental
- Holiday shutdown
- Lease program
- Medical
- Paid time off
- Vision
- Volunteer hours
Skills/Tech-stack
Bokeh | Cloud Platforms | Data Analysis | GenAI | Hadoop | MLOps | Matplotlib | Microstrategy | NLP | NumPy | Pandas | Plotly | Power BI | PySpark | PyTorch | Python | REST API | Reproducible analysis | SQL | Scikit-learn | Seaborn | Spark | StatsModels | Tableau | TensorFlow | Version control
Roles
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