Material Bank

Data Scientist

• Own and implement the end-to-end instrumentation plan for MB3, including event taxonomy, tracking standards, and data quality across the platform• Establish core metrics for Product, Marketing, and leadership, ensuring alignment to business goals such as engagement, conversion, attribution, and platform health• Define measurable success criteria, build and maintain the migration scorecard, and support stage gate decisions with clear data on adoption, performance, and user behavior• Identify performance gaps, uncover opportunities, and size the impact of product initiatives to inform prioritization and roadmap decisions• Write detailed dashboard requirements by stakeholder, partner with Data Engineering to ensure data models support reporting needs, and validate outputs for accuracy and usability• Build and refine attribution approaches across digital and physical touchpoints, improving visibility into performance for internal teams and brand partners• Partner closely with Product, Marketing, and Data to translate business questions into measurement plans and ensure insights lead to action• Audit existing data systems (Segment, Snowflake), close gaps, and establish scalable data standards

Principal, Product Analytics

AI Engineer

• Design, build, and deploy end-to-end AI workflows from concept through production across internal and revenue-driving functions.
• Identify and prioritize high-impact AI opportunities that improve efficiency, decision-making, and organizational velocity.
• Embed AI into core business processes, including sales prospecting, brand vetting, material classification, data enrichment, and user support tools.
• Architect scalable solutions leveraging LLMs, embeddings, agent frameworks, automation tools, and modern data infrastructure.
• Partner cross-functionally with Engineering, Data, Sales, Marketing, Operations, and Executive Leadership to translate business needs into production-ready AI systems.
• Educate and advise leadership on AI capabilities, trade-offs, prioritization, and ROI to ensure focus on initiatives that drive the greatest business value.
• Continuously evaluate emerging AI technologies and ensure all implementations are built on clean, secure, and scalable data foundations.

Principal, Product Analytics

Lead Applied AI Engineer