Senior AI Data Scientist
Tasks
- Advise stakeholders on analytical tradeoffs and model usefulness
- Apply machine learning and AI for classification scoring summarization pattern detection and feature generation
- Build recommendation oriented decision support solutions
- Collaborate with cross functional engineering and analytics teams
- Conduct experimentation analysis
- Define data science approaches aligned to business questions
- Design models and evaluation frameworks
- Develop notebook based reproducible workflows
- Establish best practices for methodology experimentation and documentation
- Evaluate LLM enabled or AI assisted workflows
- Execute segmentation forecasting propensity modeling and anomaly detection
- Follow governance privacy and responsible AI standards
- Improve data science delivery workflows documentation and reusable assets
- Lead analytical machine learning and applied AI workstreams
- Mentor practitioners through technical guidance and quality review
- Review deliverables for rigor quality consistency and usefulness
- Synthesize model outputs into business implications and next steps
- Translate stakeholder needs into analytical strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Data Modeling | Databricks | Error Analysis | Experimentation | Feature Engineering | LLM | Language Processing | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Probability | Statistics | Supervised Learning | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Data Scientist | Data Scientist | Scientist | Senior AI Data Scientist
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