Engineering Data Scientist (Senior or Lead)
USA - Seal Beach, CA, United States
USD 173K-295K Senior-level Full Time
Tasks
- Architect machine learning infrastructure and pipelines
- Develop and deploy machine learning models
- Enforce best practices for model development and testing
- Ensure security access controls and resource utilization
- Evaluate and adopt new tools and frameworks
- Implement model governance explainability and bias mitigation
- Lead AI strategy and roadmap
- Manage data quality lineage and feature stores
- Mentor engineers through coaching and code reviews
- Monitor production model performance
- Provide technical leadership and set priorities
- Translate business requirements into technical solutions
Perks/Benefits
- Flexible spending accounts
- Health insurance
- Health savings accounts
- Life and disability insurance
- Paid time off
- Relocation support
- Retirement savings plans
Skills/Tech-stack
API | Azure | CI/CD | Cloud Computing | Cloud platform | Data Engineering | Data Science | Data Versioning | Data analytics | Databricks | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Machine Learning | Model Deployment | Model Monitoring | Teradata
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Engineering | Engineering Data Scientist | Scientist
Regions
Countries
States
Cities
Language: en
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