One Thing
Semiconductor Manufacturing
SRDATASCIENTIST
Neural analysis suggests this role is
optimal for Senior candidates.
“SR DATA SCIENTIST at One Thing. Skills: Data science, Machine learning, Data engineering, Statistical modeling. Analyze inline/param/probe data to identify top yield detractors. Drive continuous improvement”
Industry & Context.
Data-driven problem solving; Analytical mindset; Problem-solving mindset
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field, Minimum 3 years of hands-on experience in semiconductor manufacturing data science, analytics, or scripting applications, Python programming skills, Working experience with SQL, Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), Data-driven problem solving, At least 2 year of working experience applying data visualization tools (e.g., Dash, Plotly, Angular), Effective communicator and collaborator, Analytical and problem-solving mindset, Demonstrated commitment to quality and continuous improvement, Proven ability to work independently, Manage multiple priorities, Deliver high-quality results
Nice to Have
Prior experience or internship in the semiconductor industry, electronics manufacturing, or related fields, Basic understanding of semiconductor fabrication processes, equipment, and device physics, Familiarity with advanced analytics or computer-based analysis for manufacturing and yield applications, Knowledge of memory architecture (DRAM/NAND)
What You'll Do.
Analyze inline/param/probe data to identify top yield detractors
Drive continuous improvement
Extract datasets from SQL databases
Cleanse datasets from SQL databases
Analyze datasets from SQL databases
Apply data science techniques to solve yield issues
Apply statistical modeling to solve yield issues
Apply machine learning to solve yield issues
Support defect reduction strategies
Assist process and integration engineers in running Design
Assist process and integration engineers in analyzing Design
Enhance process capabilities
Enhance process margins
Develop automated reports
How You'll Work.
Team & Collaboration
Semiconductor manufacturing engineering teams; Process and integration engineers; Data science and traditional 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 3 years of hands-on experience in semiconductor manufacturing 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 w
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