Engineer, Data
Houston, TX, United States
USD 100K-125K (estimate) Mid-level Full Time
Tasks
- Apply machine learning and artificial intelligence for predictive modeling
- Build and deploy applications at scale
- Build and maintain data and deployment pipelines
- Build and manage data pipelines in production using DevOps practices
- Develop and validate source code for model quality improvement
- Develop data models for classification and regression
- Develop tools using Python libraries and visualization
- Integrate data from structured and unstructured sources
- Perform data wrangling and processing
- Support creation of products services and insights using predictive models
- Use natural language processing for analytics
Perks/Benefits
- 401k plan
- Dental insurance
- Employee assistance program
- Flexible savings account
- Health savings account
- Life insurance
- Medical insurance
- Paid Holidays
- Paid vacation
- Parental leave
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Azure | C# | Classification | Data Architecture | Data Wrangling | DevOps | ETL | Machine Learning | NLP | Object-Oriented | Object-oriented programming | Power BI | Powershell | Python | REST API | Regression | SQL | Tableau | Version control | Web APIs | XML
Education
Roles
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