Senior AI Data Scientist
Tasks
- Advise stakeholders on analytical tradeoffs and model usefulness
- Build recommendation and decision support analyses
- Collaborate with cross-functional data teams
- Conduct experimentation and experiment analysis
- Define data science approaches and evaluation methods
- Design and execute machine learning models
- Develop reproducible notebook workflows
- Establish methodology and experimentation best practices
- Evaluate LLM enabled or AI assisted workflows
- Follow governance and responsible AI standards
- Lead analytical and applied AI workstreams
- Mentor junior and mid level practitioners
- Perform forecasting and segmentation analysis
- Review deliverables for rigor and quality
- Summarize results into business implications
- Translate stakeholder needs into analytical strategies
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Classification | Databricks | Experimentation Design | Feature Engineering | Feature extraction | Forecasting | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Probability | Propensity Modeling | Recommendation Systems | Reproducibility | Responsible AI | Statistics
Education
N/A
Roles
AI | AI Data Scientist | Data Scientist | Scientist | Senior Data Scientist
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