Senior Data Scientist
Tasks
- Apply Retrieval Augmented Generation
- Clean and preprocess data
- Create visualizations and reports
- Develop and tune machine learning models
- Develop generative AI models
- Engineer features
- Extract and prepare structured and unstructured data
- Implement models in production
- Log metrics with MLflow
- Monitor model performance
- Perform exploratory data analysis
- Perform fine tuning for generative models
- Translate business problems into actionable insights
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Dental insurance
- Employee assistance program
- Employee discounts
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Short-term disability
- Tuition reimbursement
- Vision insurance
- Wellness programs
Skills/Tech-stack
Adversarial Networks | Automl | Data Analysis | Databricks | Deep learning | Deep reinforcement learning | Exploratory Data Analysis | Feature Engineering | Generative Adversarial Networks | Hyperparameter Tuning | Keras | Language Processing | MLflow | Machine Learning | Model Interpretability | Natural Language | Natural Language Processing | Pandas | Prompt engineering | PyTorch | Python | R | Reinforcement Learning | Retrieval-Augmented Generation | Scala | SciKitLearn | Shiny | Spark | Studio Code | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | Variational Autoencoders | Visual Studio | Visual Studio Code
Education
Roles
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