Avanciers is seeking a highly skilled Data Scientist for an exciting opportunity with one of our Fortune 500 clients, based in Sunnyvale, CA (Onsite).

Role: Data Scientist

Location: Sunnyvale, CA

Employment Type: Fulltime

Job Summary:

We are looking for a highly motivated Data Scientist with strong experience in analytics, data governance, machine learning, and AI-powered solutions to support business decision-making in a retail/consumer goods environment.

Key Responsibilities

Data Science & Analytics

Have familiarity with designing, developing, and deploying statistical models, machine learning algorithms, and analytical frameworks to support channel business decisions
Have hands-on experience in conducting exploratory data analysis to surface insights on sales performance and inventory
Have familiarity with building and maintaining forecasting models
Translate complex analytical outputs into clear, actionable recommendations for business audiences

Data Governance & Metric Definition

Serve as the data steward for key data domains, owning definitions, lineage, and quality standards
Develop and maintain data dictionaries, business glossaries, and lineage documentation
Define and monitor data quality rules, triage and resolve data issues in partnership with engineering teams
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 workflows in data governance

What You’ll Bring

Required Skills & Experience

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

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