Technology Architect | OpenSystem | Python - OpenSystem
Varite, Cupertino, CA, United States
Pay Rate Range: $ 53.85 - 55.44/hr.
Description:
ECMS Job Description
- Data Analyst (Data & Reporting)
Job Title:
Senior Data Steward / Data Scientist
Location : Cupertino, CA - Onsite (Contract)
Key Domain:
Retail / Consumer Goods Analytics
Experience : 5+ years overall; minimum 2 years in Retail or Consumer Goods
Communication : Strong verbal and written communication skills are mandatory; ability to clearly explain complex data insights to non-technical stakeholders.
Role Summary:
We are looking for a senior Data Steward / Data Scientist with strong analytical depth, data ownership mindset, and modern AI exposure. This role bridges advanced analytics, data governance, and intelligent automation to ensure data is trusted, well-defined, and business-ready. The role focuses on governing metrics and deploying AI-driven solutions to automate analytical and governance workflows.
Key Responsibilities:
• Analyze retail channel data (sales, inventory, performance metrics) using statistical and analytical techniques.
• Build and maintain forecasting and analytical models to support business decisions.
• Perform exploratory data analysis and translate insights into clear business recommendations.
• Own and govern data definitions, metrics, lineage, and quality standards for key data domains.
• Develop and maintain data dictionaries, business glossaries, and documentation.
• Design and deploy AI or LLM-based agents to automate recurring analytics or data governance workflows.
Key Skills (Must Have):
• Advanced SQL and Python (pandas, scikit-learn, statsmodels).
• Retail / Consumer Goods analytics experience (mandatory).
• Data analysis, forecasting, and statistical modeling expertise.
• Strong understanding of data governance, data quality, and stewardship practices.
• Experience with data pipelines and platforms (Airflow, dbt, Spark or similar).
• Hands-on exposure to AI agents or LLM-powered analytical solutions.
• Excellent communication and stakeholder management skills.
Nice to Have:
• Knowledge graph technologies (RDF, Neo4j) and graph query languages (SPARQL, Cypher).
• Multi-agent frameworks (LangGraph, CrewAI, Claude Agent SDK).
• Data governance frameworks (DAMA-DMBOK).
• Cloud data platforms (Snowflake, Databricks, BigQuery).
Description:
ECMS Job Description
- Data Analyst (Data & Reporting)
Job Title:
Senior Data Steward / Data Scientist
Location : Cupertino, CA - Onsite (Contract)
Key Domain:
Retail / Consumer Goods Analytics
Experience : 5+ years overall; minimum 2 years in Retail or Consumer Goods
Communication : Strong verbal and written communication skills are mandatory; ability to clearly explain complex data insights to non-technical stakeholders.
Role Summary:
We are looking for a senior Data Steward / Data Scientist with strong analytical depth, data ownership mindset, and modern AI exposure. This role bridges advanced analytics, data governance, and intelligent automation to ensure data is trusted, well-defined, and business-ready. The role focuses on governing metrics and deploying AI-driven solutions to automate analytical and governance workflows.
Key Responsibilities:
• Analyze retail channel data (sales, inventory, performance metrics) using statistical and analytical techniques.
• Build and maintain forecasting and analytical models to support business decisions.
• Perform exploratory data analysis and translate insights into clear business recommendations.
• Own and govern data definitions, metrics, lineage, and quality standards for key data domains.
• Develop and maintain data dictionaries, business glossaries, and documentation.
• Design and deploy AI or LLM-based agents to automate recurring analytics or data governance workflows.
Key Skills (Must Have):
• Advanced SQL and Python (pandas, scikit-learn, statsmodels).
• Retail / Consumer Goods analytics experience (mandatory).
• Data analysis, forecasting, and statistical modeling expertise.
• Strong understanding of data governance, data quality, and stewardship practices.
• Experience with data pipelines and platforms (Airflow, dbt, Spark or similar).
• Hands-on exposure to AI agents or LLM-powered analytical solutions.
• Excellent communication and stakeholder management skills.
Nice to Have:
• Knowledge graph technologies (RDF, Neo4j) and graph query languages (SPARQL, Cypher).
• Multi-agent frameworks (LangGraph, CrewAI, Claude Agent SDK).
• Data governance frameworks (DAMA-DMBOK).
• Cloud data platforms (Snowflake, Databricks, BigQuery).