Principal Data Scientist
Tasks
- Apply A B testing counterfactual analysis and causal inference
- Architect production-scale agentic solutions
- Automate insight generation validation and delivery
- Build skill graphs taxonomies competency models and readiness frameworks
- Define and operationalize enterprise measurement methodologies
- Establish evaluation and observability for learning systems
- Lead platform architecture data and telemetry strategy
- Measure learner progress and proficiency
- Mentor scientists and set scientific and engineering standards
- Personalize learning pathways using behavioral and contextual signals
- Set experimentation and causal measurement strategy
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure Data | Azure Data Explorer | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | B testing | Behavioral Modeling | Bias Mitigation | Causal Inference | Competency modeling | Counterfactual analysis | Data Explorer | Data Factory | Databricks | Delta Lake | Embeddings | Experiment design | Graph theory | GraphRAG | Knowledge graphs | LLM | Language Processing | Machine Learning | Microsoft Fabric | Natural Language | Natural Language Processing | Observability | Python | RAG | Reliability Engineering | Responsible AI | Retrieval-Augmented Generation | Safety engineering | Skill Taxonomy | Snowflake | Synapse Analytics | Uncertainty Quantification
Education
Bachelor of Science | Doctor of Philosophy | Master of Science | PhD
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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