Principal Data and Applied Scientist
United States, Washington, Redmond
USD 142K-274K Senior-level Full Time
Tasks
- Build reproducible analytical pipelines
- Communicate findings and confidence levels to leadership
- Conduct design reviews and mentorship
- Define causal and experimental measurement strategy
- Design and run A B testing and experimentation frameworks
- Develop machine learning and GenAI models
- Develop metric frameworks for business outcomes
- Diagnose quality and performance issues
- Lead end to end evaluation of GenAI solutions
- Recommend fine tuning and reinforcement learning fixes
- Translate ambiguous AI questions into scientific problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | Apache Spark | Azure AI | Azure AI Foundry | Azure Machine Learning | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | B testing | Causal Inference | Counterfactual Inference | Databricks | Experimental Design | Generative AI | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PySpark | Python | Quasi Experimental | Quasi-Experimental Design | Reinforcement Learning | SQL | Statistical modeling | Synapse Analytics | Uplift Modeling
Education
Regions
Countries
States
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