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
