AI Data Scientist
Tasks
- Analyze large datasets for trends
- Apply statistical methods
- Build data visualizations and interactive dashboards
- Build optimization and decision support solutions
- Build predictive modeling solutions
- Collaborate with cross functional teams to collect and interpret data
- Communicate findings to technical and non-technical audiences
- Create intuitive visual reports for non technical audiences
- Design and implement LLM and NLP models
- Design and implement machine learning models
- Develop scalable AI solutions for measurable impact
- Generate actionable insights
- Tailor dashboards to stakeholder needs
Perks/Benefits
Skills/Tech-stack
AWS Glue | Amazon Comprehend | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | Classification | Clustering | Data Modeling | Data Visualization | Deep learning | Dimensionality Reduction | EMR | Experimental Design | Hypothesis Testing | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Power BI | Prompt engineering | PyTorch | Python | R | Regression | Reinforcement Learning | SQL | Scikit-learn | Statistical Methods | Supervised Learning | Tableau | TensorFlow | Unsupervised Learning | Web Services | XGBoost
Education
Roles
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