Engineering Data Scientist (Senior or Lead)
USA - Seal Beach, CA, United States
USD 173K-295K Senior-level Full Time
Tasks
- Architect scalable machine learning infrastructure
- Build production data pipelines for feature engineering and training
- Create decision support visualizations dashboards and reports
- Deploy and monitor machine learning models
- Ensure model governance explainability bias mitigation and compliance
- Establish best practices for model development testing versioning and CI CD
- Evaluate and adopt new machine learning tools frameworks and methodologies
- Implement security access controls and resource utilization for AI workloads
- Lead AI strategy and roadmap alignment
- Manage data quality data lineage and feature stores
- Mentor junior engineers through coaching and code reviews
- Provide technical leadership for AI delivery
- Translate business requirements into analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API | Azure | Bias Mitigation | CI/CD | Cloud Computing | Cloud platform | Data Engineering | Data Ingestion | Data Lineage | Data Quality | Data Science | Data Versioning | Databricks | ETL | Explainable AI | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Model Training | Teradata
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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