Hello
Position: Data Steward/ Scientist
Location: Cupertino CA * hybrid
Duration: Full-Time
Data Governance & Metric Definition:
- Serve as the data steward for key data domains owning definitions lineage and quality standards
- Develop an maintain data dictionaries business glossaries and lineage documentation
- Define and monitor data quality riles triage and resolve data issues in partnership with engineering
- Ensure AI outputs and agent generated content are traceable back to governed trusted data sources
- Design build and deploy AI agents that automate recurring analytical workflow in data governance
Required: - 5 years of experience across data science data engineering or analytics - with at least 2 years in a retail or consumer goods environment
- Strong proficiency in SQL and Python (pandas scikit-learn statsmodels or similar)
- Familiarity with causal inference methods and experiment design
- Familiarity with building and maintaining data pipelines (Airflow dbt Spark or similar)
- Practical experience building or deploying AI agents or LLM-powered applications
- Familiarity with knowledge graph technologies (RDF property graphs Neo4j)
- Experience with data governance practices - data quality metadata management or data stewardship
- Ability to communicate complex findings clearly to non-technical stakeholders
Nice to have: - Experience with multi-agent frameworks (Claude Agent SDK LangGraph CrewAI or similar)
- Exposure to ontology design or entity resolution in a retail context
- Familiarity with data governance frameworks (DAMA-DMBOK or simila
- Graph query languages (SPARQL Cypher)
- Cloud data platform experience (Snowflake BigQuery Databricks)
- Strong proficiency in SQL and Python (e.g. pandas scikit-learn statsmodels or similar)
- Have familiarity with designing developing and deploying statistical models machine learning algorithms and analytical framework to support channel business decisions.
- 2 years of experience in a retail or consumer goods environment
- Practical experience building or deploying AI agents or LLM-powered applications
- Experience with data governance practices including data quality metadata management or data stewardship
- Familiarity with knowledge graph technologies (RDF property graphs Neo4j)
Hello Position: Data Steward/ Scientist Location: Cupertino CA * hybrid Duration: Full-Time Data Governance & Metric Definition: Serve as the data steward for key data domains owning definitions lineage and quality standards Develop an maintain data dictionaries business glossaries and ...
Hello
Position: Data Steward/ Scientist
Location: Cupertino CA * hybrid
Duration: Full-Time
Data Governance & Metric Definition:
- Serve as the data steward for key data domains owning definitions lineage and quality standards
- Develop an maintain data dictionaries business glossaries and lineage documentation
- Define and monitor data quality riles triage and resolve data issues in partnership with engineering
- Ensure AI outputs and agent generated content are traceable back to governed trusted data sources
- Design build and deploy AI agents that automate recurring analytical workflow in data governance
Required: - 5 years of experience across data science data engineering or analytics - with at least 2 years in a retail or consumer goods environment
- Strong proficiency in SQL and Python (pandas scikit-learn statsmodels or similar)
- Familiarity with causal inference methods and experiment design
- Familiarity with building and maintaining data pipelines (Airflow dbt Spark or similar)
- Practical experience building or deploying AI agents or LLM-powered applications
- Familiarity with knowledge graph technologies (RDF property graphs Neo4j)
- Experience with data governance practices - data quality metadata management or data stewardship
- Ability to communicate complex findings clearly to non-technical stakeholders
Nice to have: - Experience with multi-agent frameworks (Claude Agent SDK LangGraph CrewAI or similar)
- Exposure to ontology design or entity resolution in a retail context
- Familiarity with data governance frameworks (DAMA-DMBOK or simila
- Graph query languages (SPARQL Cypher)
- Cloud data platform experience (Snowflake BigQuery Databricks)
- Strong proficiency in SQL and Python (e.g. pandas scikit-learn statsmodels or similar)
- Have familiarity with designing developing and deploying statistical models machine learning algorithms and analytical framework to support channel business decisions.
- 2 years of experience in a retail or consumer goods environment
- Practical experience building or deploying AI agents or LLM-powered applications
- Experience with data governance practices including data quality metadata management or data stewardship
- Familiarity with knowledge graph technologies (RDF property graphs Neo4j)
View more
View less