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Data Steward/ Scientist

Cupertino, CA, US • Posted 4 hours ago • Updated 4 hours ago

Full Time

No Travel Required

On-site

Depends on Experience

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retail or consumer goods environment

Summary

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)

Thanks & Regards,

Chiranjeevi Kosetty
Desk:
Email:

Conch Technologies Inc |

6750 Poplar Ave # 711, Memphis, TN 38138, United States

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10125234
Position Id: 12608-25909-
Posted 4 hours ago

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