Python Architect

Description: ECMS Job Description – Data Analyst (Data & Reporting) Job Title: Senior Data Steward / Data Scientist Location: Cupertino, CA – Onsite (Contract) Only W2 GC and US citizen 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.