Data Scientist
Core
Own enterprise data inventory, translate business needs into data requirements/models, and apply data science to develop reusable models and decision-support products for agentic workflows.
Role type
Senior Data Scientist (Enterprise Data & Agentic Workflows)
Builds
Reusable data models, reports, dashboards, and decision-support products for agentic workflows
Domain
Enterprise Data Management, AI/LLM, Agentic Workflows
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, data modeling, data quality, lineage, machine learning, LLMs, NLP, RAG, intelligent agents
Preferred skills
semantic layers, ontologies, metadata management, knowledge bases, embeddings, agent evaluation, Airflow, Tableau, Metabase, CI/CD
Responsibilities
Own enterprise data inventory including lineage and quality gaps; translate stakeholder needs into data requirements and acceptance criteria; partner with engineering on data ingestion and governance; prepare data for agentic workflows; monitor data product reliability; communicate data limitations and business impact
Seniority
Senior, hands-on IC