Lead Data Scientist
Tasks
- Apply retrieval augmented generation with RAG
- Build select and train machine learning models
- Clean and preprocess data
- Conduct exploratory data analysis
- Create visualizations and reports for stakeholders
- Develop and fine-tune generative ai models
- Engineer features
- Extract data from structured and unstructured sources
- Implement models into production
- Interpret and explain model results
- Log machine learning metrics with mlflow
- Monitor model performance in production
- Retrain models
- Tune hyperparameters
- Use prompt engineering to generate content
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance programs
- Employee discounts
- Employee wellness programs
- Life insurance
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Automl | Computer Vision | D3.js | DALL-E | Databricks | Databricks Workspaces | Deep learning | GAN | Ggplot | Keras | Language Processing | MLflow | Natural Language | Natural Language Processing | NumPy | Pandas | Powershell | PyTorch | Python | R | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Shiny | Spark | Stable Diffusion | Studio Code | Supervised Learning | TensorFlow | Tidyverse | Transformers | Unsupervised Learning | Variational Autoencoder | Visual Studio | Visual Studio Code
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
Cities
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