Data Scientist
Tasks
- Build supervised and unsupervised NLP models
- Contribute maintainable code to ML pipelines
- Develop and deploy NLP models
- Evaluate and fine-tune model performance
- Extract insights from unstructured text
- Preprocess text and engineer features
- Present insights and recommendations to stakeholders
- Stay current with NLP research and methods
Perks/Benefits
- Employee resource groups
- Flexible family care
- Medical dental prescription coverage
- Paid Holidays
- Paid time off
- Parental leave
- Subsidized back-up child care
- Tuition assistance
- Vehicle Discount
- Work from home
Skills/Tech-stack
AI Platform | Apache Beam | BERT | BigQuery | Cloud SQL | Cloud Storage | Cloud platform | Data Preprocessing | ETL | Embeddings | Ensemble learning | Feature Engineering | GPT | Gensim | Google Cloud | Google Cloud Platform | Huggingface | Hyperparameter Optimization | Language Processing | Machine Learning | NLTK | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Semantic Search | Spacy | T5 | TensorFlow | Transfer Learning
Education
Master of Engineering | Master of Engineering in Computer Engineering | Master of Science | Master of Science in Data Science
Roles
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