Senior Data Scientist
Tasks
- Build generative AI models and fine tune pre trained models
- Build, evaluate, and optimize machine learning models
- Clean and preprocess large complex datasets
- Collaborate with cross-functional teams on business objectives
- Create visualizations and reports for stakeholders
- Develop retrieval-augmented generation systems
- Engineer features and perform exploratory data analysis
- Extract and prepare data for analysis
- Implement machine learning solutions into business processes
- Retrain models and monitor performance in production
- Translate business problems into actionable insights
- Tune hyperparameters and interpret model results
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance programs
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement program
Skills/Tech-stack
Adversarial Networks | Automl | Computer Vision | D3.js | DAG | Databricks | Deep learning | Feature Engineering | Generative Adversarial Networks | Ggplot | Keras | Kubernetes | Language Processing | MLflow | Machine Learning | Natural Language | Natural Language Processing | Pandas | Prompt engineering | PyTorch | Python | R | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Spark | StatsModels | Studio Code | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | Variational Autoencoders | Visual Studio | Visual Studio Code
Education
Roles
Regions
Countries
States
Cities
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