Lead Data Scientist
United States Home Office, United States
R
USD 160K-170K Senior-level Full Time
Tasks
- Build metric suites for output quality fidelity repeatability and usefulness
- Create experiment and release reports for product decisions
- Create release quality reporting and evidence based prioritization
- Define dataset design validation slices and quality improvement loops
- Define human review protocols and product acceptance thresholds
- Define pass fail metrics for output quality fidelity and robustness
- Develop data and validation strategy for model quality
- Evaluate structural semantic and temporal consistency
- Lead artifact auditing and failure taxonomy development
- Measure output suitability for perception mapping and generative AI use cases
- Own evaluation framework and quality strategy for AI and vision systems
- Translate evaluation findings into data strategy experiment priorities and applied modeling opportunities
Perks/Benefits
Skills/Tech-stack
Applied Machine Learning | Computer Vision | Data Validation | Dataset curation | Deep learning | Evaluation Framework | Generative AI | Label Quality | Label Quality Assessment | Machine Learning | Metric Learning | Object Detection | Quality Assessment | Quality Assurance | Quality metrics | Robustness Testing | Segmentation | Structural Similarity | Synthetic data | Synthetic-to-real transfer | Temporal consistency | Video Quality Metrics | Video quality
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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