Lead Data Scientist
Tasks
- Clean and preprocess data
- Collaborate with cross-functional teams
- Create data visualizations and reports
- Deploy models to production
- Design retrieval-augmented generation systems
- Develop generative AI models
- Develop machine learning models
- Develop prompt engineering solutions
- Engineer features
- Extract and prepare data
- Fine-tune pretrained models
- Implement machine learning operations monitoring
- Interpret and monitor model performance
- Perform exploratory data analysis
- Retrain models
- Tune hyperparameters
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee Assistance Programs EAP
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical/Dental/Vision
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Automl | Computer Vision | D3 | D3JS | Data Analysis | Databricks | Deep learning | Exploratory Data Analysis | Feature Engineering | GAN | Keras | Language Processing | MLflow | 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 | Tidyverse | Transformer | 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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