Staff Data Scientist

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a technically deep and strategically minded Staff Data Scientist to lead a high-stakes partnership with a major enterprise partner. In this role, you will be the technical architect behind the embedded DFM AI + IQE track, moving beyond simple plug-ins to integrate Xometry’s proprietary AI directly into our partner's ecosystem. You will lead the extraction and embedding of our core AI engines—focused on Design for Manufacturability (DFM) and Instant Quoting (IQE)—directly into the partner's core software and product lifecycle management (PLM) platforms. Your work will enable engineers to receive real-time manufacturability feedback and pricing the moment a design decision is made, operating directly on native 3D geometry to deliver a 'science fiction speed' digital thread from ideation to delivery.

Responsibilities

Lead the design and delivery of production ML solutions that embed Xometry's AI into partner's ecosystem workflows; Partner with external technical leads and Xometry engineering, product, and business leadership to align science priorities; Define and own the 12-month science roadmap for this strategic partnership, bridging the gap between Phase 1 (DFM & Pricing integration) and Phase 2 (Full Part Lifecycle & Marketplace integration); Anticipate technical hurdles in ring-fenced data environments and enterprise-grade deployments; Provide technical guidance to scientists, driving the adoption of shared frameworks and reusable tooling that allow Xometry's AI to scale across multiple enterprise-grade partners

Requirements

A minimum of 8 years in data science/ML with a Bachelor's; 5-6+ years with a Master's; or a PhD with 3-4+ years of applied experience; Expert-level proficiency in Python and SQL; Proven ability to lead cross-functional delivery for high-value external partnerships, influencing stakeholders without direct authority; A track record of executing long-term science roadmaps that translate complex manufacturing physics into real-time pricing and DFM outcomes; Ability to translate complex technical trade-offs regarding data governance and model performance for both external executives and internal stakeholders

Nice to have

Deep expertise in Geometric Deep Learning, Computer Vision (3D mesh/B-Rep processing), or Generative AI; Domain Expertise in CAD/PLM software, computational geometry, or industrial manufacturing; Experience shipping production-grade ML models that handle massive, multi-modal datasets; Experience shaping ML infrastructure for ring-fenced or dedicated tenant environments; Background in dynamic pricing, supply chain optimization, or high-volume marketplace modeling

Benefits

Bonus; Equity; 401(k) match; Medical, dental and vision insurance; Life and disability insurance; Generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources