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Staff Data Scientist

Job

Xometry

Remote

$176,500 Salary, Full-Time

Posted 2 days ago (Updated 4 hours ago) • Actively hiring

Expires 6/12/2026

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Job Description

Staff Data Scientist Xometry vision insurance, paid time off, sick time, 401(k) United States, Maryland, North Bethesda May 11, 2026 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. Xometryis looking for a technically deep and strategically minded Staff Data Scientist to lead our high-stakes partnership with Siemens. 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 the Siemens ecosystem. You will lead the extraction and embedding of our core AI engines-focused on Design for Manufacturability (DFM) and Instant Quoting (IQE)-into Siemens Designcenter and Teamcenter. 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. This role requires a hybrid schedule (3 days a week) at our North Bethesda, MD or Waltham, MA office location.
How You'll Contribute Technical Leadership & Siemens Integration:
Lead the design and delivery of production ML solutions that embed Xometry's AI into Siemens Designcenter workflows. You will shift our technology from vertically integrated services to SaaS solutions that can be integrated into multiple services, enabling real-time feedback loops within Siemens Designcenter.
Cross-Functional Strategy:
Partner with Siemens technical leads and Xometry engineering, product, and business leadership to align science priorities. You will influence how we handle native 3D geometry vs. mesh-based formats to provide materially richer AI insights.
Roadmap Ownership:
Define and own the 12-month science roadmap for the Siemens partnership. You will bridge the gap between Phase 1 (DFM & Pricing integration) and Phase 2 (Full Part Lifecycle & Marketplace integration).
Risk Management & Execution:
Anticipate technical hurdles in ring-fenced data environments and enterprise-grade deployments. You will ensure that Xometry-AI delivers "one-click" order placement and execution insights within the Siemens Teamcenter experience.
Mentorship and Standards:
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. What You'll Bring to
Xometry Experience:
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.
Technical Mastery:
Expert-level proficiency in Python and SQL. Deep expertise in Geometric Deep Learning, Computer Vision (3D mesh/B-Rep processing), or Generative AI is highly preferred given the focus on native 3D geometry.
Strategic Delivery:
Proven ability to lead cross-functional delivery for high-value external partnerships, influencing stakeholders without direct authority.
Product Vision:
A track record of executing long-term science roadmaps that translate complex manufacturing physics into real-time pricing and DFM outcomes.
Communication:
Ability to translate complex technical trade-offs regarding data governance and model performance for both Siemens executives and internal stakeholders.
You Would Be A Great Fit With Domain Expertise:
Experience in CAD/PLM software, computational geometry, or industrial manufacturing.
AI Scale:
Experience shipping production-grade ML models that handle massive, multi-modal datasets (e.g., millions of proprietary part files and production outcomes).
Enterprise Architecture:
Experience shaping ML infrastructure for "ring-fenced" or dedicated tenant environments where data security is paramount.
Marketplace Logic:
Background in dynamic pricing, supply chain optimization, or high-volume marketplace modeling.
The Siemens Advantage:
Why This Role is Different Unlike our existing plug-ins for Dassault, Autodesk, or PTC-which function as lightweight UI overlays-this partnership represents a fundamental shift. You will be building a deeply coupled digital thread.
Native Geometry:
You will work on Siemens' native 3D geometry, providing a level of accuracy and speed impossible on neutral formats.
End-to-End Ownership:
You aren't just building a pricer; you are enabling a "one-click" reality where procurement and execution insights live entirely within the design ecosystem.
What Xometry Will Bring To You Compensation:
The base pay range for this role is $163,000 - $190,000. The total compensation package includes base, bonus, and equity.
Culture:
A fast-paced, AI-native environment with a stipend for catered lunch on Tuesdays and Thursdays. 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. 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; EAP, other wellbeing resources; and much more. Xometry is an equal opportunity employer and participates in E-Verify. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles:
Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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