Data Scientist
Miami, FL, US, 33131
USD 142K-210K (estimate) Senior-level Full Time Found 3d ago
Tasks
- Adopt modern development practices
- Apply model validation techniques
- Build and tune predictive models
- Communicate insights and risks
- Conduct power and sample size analysis
- Create visualizations and reports
- Design A/B and multivariate tests
- Design and deploy dashboards, APIs, reporting interfaces
- Develop training, inference, and monitoring pipelines
- Diagnose experiment failures
- Document models and code
- Ensure ML reproducibility and version control
- Evaluate experiment outcomes
- Feature engineering
- Follow MLOps best practices
- Implement explainability tools
- Maintain knowledge of ML algorithms and tools
- Participate in code reviews and knowledge sharing
- Partner with data engineers for data pipeline validation
- Perform exploratory data analysis
- Seek continuous improvement
- Work with product managers to operationalize models
Perks/Benefits
Skills/Tech-stack
AI/ML | AI/ML frameworks | CI/CD | Cloud Platforms | Data Pipelines | Databricks | Docker | Explainability | Hugging Face | LightGBM | ML frameworks | MLOps | MLflow | Machine Learning | Matplotlib | Model Deployment | NumPy | Pandas | Plotly | Power BI | PyTorch | Python | Responsibility AI | SQL | Scikit-learn | Seaborn | Spacy | Spark | Statistical Analysis | StatsModels | TensorFlow | Version control | XGBoost
Education
Roles
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