One Thing
Semiconductor
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at One Thing. Skills: Digital Twin, Machine Learning, Simulation, Data Science. Develop digital twins. Build data-driven models”
What You'll Achieve.
Create highly accurate digital twins; Enable more advanced capabilities; Enable real-time decision-making; Enhance product development; Enhance business processes; Enhance administrative processes
Industry & Context.
Advanced analytics; Predictive maintenance; Throughput optimization; Energy efficiency; Simulation; Optimization
What They're Looking For.
Must Have
Proficiency in Python, R, SQL, Data engineering experience, Experience with machine learning frameworks, Experience with simulation tools, Knowledge of semiconductor manufacturing processes, Knowledge of fab operations, Familiarity with IoT data pipelines, Familiarity with MES systems, Familiarity with cloud platforms, Understanding of 3D modeling tools, Understanding of visualization tools
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification
What You'll Do.
Develop digital twins
Build data-driven models
Maintain data-driven models
Integrate IoT sensor data
Integrate facility data
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
Run what-if scenarios
Optimize fab workflows
Visualize fab layouts
Visualize operational states
Collaborate with process engineers
Collaborate with facility planners
Collaborate with IT teams
Support cross-functional projects
How You'll Work.
Team & Collaboration
International team; Data scientists; Data engineers; Solution architect; External solution provider; Stakeholders; Construction teams; Facility teams; Planning teams; Process engineers; Facility planners; IT teams; Cross-functional projects
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. As a Data scientist at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, develops, and delivers end to end smart manufacturing solution, integrated across functions of the business. The team applies industry-leading methodologies in automation, AI, and machine learning to enhance Micron’s product development, business, and administrative processes across the company. This role focuses on enabling semiconductor fab digital twin solutions, involves leveraging advanced analytics, machine learning, and simulation technologies to model fab operations, predict performance, and enable real-time decision-making. **Responsibilities include, but not limited to:** * Work with an international team of data scientists, 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, and facility data into the digital twin platform. * **Predictive Analytics & Machine Learning** * Develop algorithms for **predictive maintenance** , **throughput optimization** , and
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