Data Scientist II
Tasks
- Apply machine learning for supervised and unsupervised learning
- Build statistical and machine learning models
- Collaborate with cross-functional teams to identify business opportunities
- Communicate analysis insights and recommendations to business partners
- Deliver data mining statistical analysis and machine learning insights
- Develop and deploy machine learning systems in production
- Develop data driven solutions to drive growth and engagement
- Evaluate models in offline and online settings
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Glue | Airflow | Amazon Athena | Amazon SageMaker | B testing | CI/CD | Classification | Clustering | Data Mining | Deep learning | DynamoDB | Experimentation | Generative AI | Git | Graph Algorithms | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | PyTorch | Python | Recommendation Systems | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Analysis | TensorFlow | Test-Driven | Test-Driven Development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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