Staff Data Scientist

About the role

Xometry is seeking a Staff Data Scientist to lead a strategic partnership with a major enterprise partner. The ideal candidate will have a minimum of 8 years of experience in data science/ML, with a focus on Design for Manufacturability (DFM) and Instant Quoting (IQE).

Responsibilities

• Lead the design and delivery of production ML solutions that embed Xometry’s AI into the partner's ecosystem workflows.
• Shift technology from vertically integrated services to SaaS solutions that can be integrated into multiple environments, enabling real-time feedback loops.
• 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, ensuring Xometry-AI delivers "one-click" order placement and execution insights within the partner application experience.
• 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.
• Deep expertise in Geometric Deep Learning, Computer Vision (3D mesh/B-Rep processing), or Generative AI, given the focus on native 3D geometry.
• 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.

Qualifications

• Experience in CAD/PLM software, computational geometry, or industrial manufacturing.
• Experience shipping production-grade ML models that handle massive, multi-modal datasets (e.g., millions of proprietary part files and production outcomes).
• Experience shaping ML infrastructure for "ring-fenced" or dedicated tenant environments where data security is paramount.
• Background in dynamic pricing, supply chain optimization, or high-volume marketplace modeling.

Skills

• Native Geometry: Work directly on the ecosystem's native 3D geometry, providing a level of accuracy and speed impossible on neutral formats.
• End-to-End Ownership: Enable a "one-click" reality where procurement and execution insights live entirely within the design environment.

Benefits

The estimated base salary range for new hires into this role is $163,000 - $190,000 annually + annual bonus, depending on factors such as job-related skills, relevant experience, and location. The total compensation package includes base, bonus, and equity. We also offer a competitive benefits package, including:

• 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
• Employee Assistance Program (EAP) and other wellbeing resources