One Thing
Technology
PrincipalDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Data Scientist at One Thing. Skills: Digital Twin, Simulation, Machine Learning, Data Science. Spearhead digital twin team formation. Drive innovation”
What You'll Achieve.
Create highly accurate digital twins; Enable advanced capabilities
Industry & Context.
Optimization; Algorithmic problem-solving
What They're Looking For.
Must Have
Master's/PhD degree, 12+ years of experience, 3D modeling and Simulation, Python, R, SQL proficiency, Machine learning frameworks experience, Simulation tools experience, Semiconductor manufacturing knowledge, IoT data pipelines familiarity, MES systems familiarity, Cloud platforms familiarity
Nice to Have
PhD preferred, Omniverse experience, AWS certification, Azure certification
What You'll Do.
Spearhead digital twin team formation
Lead exploration of digital twin use cases
Define digital twin use cases
Deliver digital twin use cases
Guide cross-functional partners
Architect scalable simulation pipelines
Shape data strategies
Shape model strategies
Establish technical standards
Translate technology capabilities into business value
Build data-driven models
Maintain data-driven models
Integrate IoT sensor data
Integrate facility data
Run what-if scenarios
Optimize fab workflows
Simulate construction phasing
Simulate construction sequencing
Simulate structural load
Simulate occupant movement
Simulate site logistics
Develop algorithms for predictive maintenance
Develop algorithms for throughput optimization
Develop algorithms for energy efficiency
Apply statistical techniques
Forecast equipment failures
Forecast cycle time variations
Forecast yield impacts
Work closely with process engineers
Work closely with facility planners
Work closely with IT teams
Support cross-functional projects
How You'll Work.
Team & Collaboration
Cross-functional partners; Data engineers; Solution architect; External solution provider; Construction teams; Facility teams; Planning teams; Process engineers; Facility planners; IT teams; AI projects; Automation projects; Industry 4.0 initiatives
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Responsibilities include, but not limited to:** As a Principal Data Scientist, you will spearhead the formation of a next‑generation fab digital twin team, driving innovation in an environment where NVIDIA Omniverse and OpenUSD‑based simulation technologies are entirely new to the organization. You will lead the exploration, definition, and delivery of cutting‑edge digital twin use cases, guiding cross‑functional partners through uncharted technical territories. This includes architecting scalable simulation pipelines, shaping data and model strategies, and establishing technical standards for real‑time, physics‑accurate virtual representations of advanced manufacturing operations. You will act as both a hands‑on technical leader and a strategic visionary—translating emerging technology capabilities into transformative business value while mentoring a growing team through rapid experimentation, ambiguity, and industry‑first innovation. You will work closely with data engineers, solution architect, external solution provider, and our stakeholders in construction, facility, planning teams in a collaborative manner to create highly accurate digital twins of our fabs and enable more advanced capabilities, e.g., Photorealistic and physics-based simulation, etc.. * **Digital Twin Development** * Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities. * Integrate IoT sensor data, MES (Manufacturing Execution System) data
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