Data Scientist

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