Senior Applied AI Data Scientist
Southlake, TX, United States
USD 120K-174K (estimate) Senior-level Full Time
Tasks
- Build guardrails and safe failure behaviors with human in the loop
- Build model factory for supervision risk models
- Create model evidence packages model cards and whitepapers
- Create reusable analytic datasets and feature definitions
- Define data readiness tables fields and quality checks
- Define monitoring requirements and production specifications
- Design evaluation harnesses for precision recall and calibration
- Design labeling and ground truth strategies with SMEs
- Develop domain supervision models aligned to risk categories
- Establish feedback loops retraining triggers and recalibration plans
- Establish portfolio standards for data features labels and evaluations
- Execute DS artifacts for stable repeatable deployments
- Implement evidence and auditability requirements for exam readiness
- Implement operational controls traceability audit logs replay ability and output schemas
- Lead analytical design and model development for deployment
- Perform error analysis and root cause remediation
- Provide technical leadership and mentor engineers and analysts
- Select machine learning and NLP LLM RAG approaches and set baselines
Perks/Benefits
Skills/Tech-stack
Audit Logging | Calibration | Classification | Cloud platform | Data Pipelines | Dataiku | Drift Detection | Embeddings | Error Analysis | Evaluation harnesses | False Negative | False Negative Containment | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Human-in-the-loop | Information Retrieval | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Precision-recall | Prompt evaluation | Python | RAG | Reproducibility | SQL | TF-IDF | The Loop | Thresholding | Version control
Education
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