Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources
Establish end-to-end LLM pipelines with evaluation frameworks, observability, and validation guardrails
Lead technical scoping for GenAI use cases
Design and own analytics-ready data models
Develop and maintain robust data pipelines and orchestration
Write and optimize complex SQL for transformation and analysis
Partner closely with business stakeholders to turn ambiguous questions into well-scoped requirements
Use AI tools to accelerate development responsibly
Define best practices for GenAI in analytics engineering

8+ years in analytics engineering, data engineering, data science, or related roles
Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field
Strong understanding of LLM fundamentals and practical tradeoffs
Expert SQL skills (complex joins, window functions, CTEs, query optimization)
Hands-on experience with dimensional modeling and workflow orchestration tools
Demonstrated ability to validate AI-assisted output
High integrity and ownership to handle sensitive enterprise data
Strong stakeholder communication with the ability to explain technical constraints to non-technical partners
Experience with GenAI coding tools

Senior Data Scientist, Gen AI Automation

Key skills