One Thing
Technology
STAFFDATASCIENTIST
Neural analysis suggests this role is
optimal for Senior candidates.
“STAFF DATA SCIENTIST at One Thing. Skills: Data science, Statistical modeling, Machine learning, Data visualization. Analyze inline/param/probe data. Identify top yield detractors”
Industry & Context.
Data-driven problem solving
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Data Science, Statistics, AI, or related Engineering field, Minimum 5 years of hands-on experience in data science, analytics, or scripting applications, Willingness to learn semiconductor manufacturing principles, Python programming skills, Working experience with SQL, Familiarity with statistical tools, Familiarity with statistical methodologies, Familiarity with data-driven problem solving, At least 3 years of working experience applying data visualization tools
Nice to Have
Prior experience in semiconductor industry, Prior experience in electronics manufacturing, Basic understanding of semiconductor fabrication processes, Basic understanding of semiconductor equipment, Basic understanding of device physics, Familiarity with advanced analytics for manufacturing, Familiarity with computer-based analysis for manufacturing, Familiarity with yield applications, Knowledge of memory architecture
What You'll Do.
Analyze inline/param/probe data
Identify top yield detractors
Drive continuous improvement
Extract datasets from SQL databases
Extract datasets from sensor networks
Extract datasets from fabrication tool logs
Apply data science techniques
Apply statistical modeling
Apply machine learning
Support defect reduction strategies
Assist engineers in running experiments
Assist engineers in analyzing experiments
Develop automated reports
How You'll Work.
Team & Collaboration
Semiconductor manufacturing engineering teams; Process and integration engineers; Equipment and integration engineers; Data science teams; Semiconductor engineering teams
Communication Scope
Communicate technical concepts; Communicate project outcomes
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. **_Key Responsibilities_** * Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. * Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. * Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies. * Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. * Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. **_Required Qualifications_** * Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field. * Minimum 5 years of hands-on experience in data science, analytics, or scripting applications. * Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues. **_Required Technical Experience_** * Programming & Data Engineering: Strong Python programming skills and working experience with SQL f
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