Senior IT Data Scientist
Tasks
- Analyze model errors
- Build predictive models
- Clean and validate data
- Communicate results to business partners
- Conduct integration testing for deployments
- Create fairness reviews for models
- Deploy models using Docker and Kubernetes
- Design scalable AI solutions
- Detect model drift and improve workflows
- Develop and tune datasets for analysis
- Develop machine learning algorithms
- Develop machine learning models in R and Python
- Extract data using SQL and Python R
- Implement logging and alerting
- Integrate and monitor deployed models
- Perform exploratory data analysis
- Rank machine learning algorithms by fit
- Set up CI/CD pipelines for model automation
- Train and evaluate machine learning models
Perks/Benefits
- 401k
- Flexible work options
- Health insurance
- Paid time off
- Stock purchase plans
- Tuition reimbursement
Skills/Tech-stack
Artificial Intelligence | CI/CD | Continuous Deployment | Continuous integration | Data Analysis | Data Visualization | Databricks | Docker | Docker containers | Exploratory Data Analysis | Git | Kubernetes | Machine Learning | Predictive Modeling | Python | R | SQL | Unit Testing
Education
N/A
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