Staff Applied Scientist - Knowledge Graphs & AI

About the role

Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation.

What you'll do

• Knowledge Graph Design & Construction: Architect and evolve per-tenant knowledge graph schemas, including entity resolution, temporal modeling
• Contextual Reasoning & Recommendation: Design reasoning and inference layers over the knowledge graph to power next-best-action suggestions, deal risk scoring
• Diagnose and address embedding quality issues including cold-start entities, and temporal drift
• Lead ontology versioning and migration
• Cross-functional Collaboration: Partner with engineering, product, and data teams to bring models from prototype to production

What you need

• 2–5 yrs of experience
• Machine learning
• Python
• NLP
• Data analysis
• Prototyping
• AWS
• PhD

Good to have

• CRM