Data Scientist
Tasks
- Analyze structured data
- Analyze unstructured data
- Build SQL queries
- Build machine learning models
- Collaborate with stakeholders to identify opportunities
- Conduct client working sessions
- Create data visualizations
- Deploy production grade machine learning solutions
- Develop end-to-end AI ML pipelines
- Lead client status meetings
- Optimize and train predictive models
- Perform feature engineering
- Run experiments and model evaluation
- Support issue resolution and process improvement
Perks/Benefits
Skills/Tech-stack
Classification | Clustering | Data Mining | Databricks | Deep learning | Experimentation | Feature Engineering | Graph Analysis | Language Models | Language Processing | Large Language Models | Machine Learning | Matplotlib | Model Optimization | Natural Language | Natural Language Processing | Network Analysis | NumPy | Pandas | Predictive Modeling | Python | Regression | SQL | Scikit-learn | Seaborn | Series analysis | Statistical modeling | StatsModels | Text Mining | Time Series | Time Series Analysis | Transformers
Education
Roles
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