Principal Data Scientist - United States
$149,900 - $214,150 USD yearly
Originally posted 24 September 2026 by the employer.
About the role
This role involves leading the development and deployment of advanced analytical solutions to drive business innovation and operational excellence in FAB and factory operations.
What you'll do
- Lead the data-science and advanced-analytics agenda for FAB and factory operations.
- Analyze FAB and factory processes, including yield, process variability, excursions, equipment behavior, throughput, bottlenecks, cycle time, WIP, rework, test fallout, quality, and scrap.
- Develop and apply statistical, predictive, and prescriptive models using complex, high-volume manufacturing data.
- Design and evaluate experiments, including DOE and controlled analyses, to understand process drivers and validate improvement actions.
- Apply regression, multivariate analysis, time-series methods, anomaly detection, causal reasoning, SPC, and other advanced statistical techniques.
- Communicate technical findings, assumptions, uncertainty, tradeoffs, and recommendations to engineers, operators, business leaders, and executives.
What you'll need
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 15+ years of progressive experience in data science, applied statistics, manufacturing analytics, process engineering, yield engineering, or operations research.
- Demonstrated experience applying advanced analytics and statistical modeling in photonics, semiconductor, optical-component, wafer, electronics, or similarly complex manufacturing environments.
- Deep understanding of FAB and factory processes, including process control, yield analysis, equipment behavior, production flow, test, quality, and manufacturing execution systems.
- Expert knowledge of experimental design, DOE, regression, multivariate analysis, time-series modeling, anomaly detection, causal analysis, and statistical process control.
- Advanced programming skills in Python and SQL; strong experience working with large, complex, and high-dimensional datasets.
Skills: FAB operations, yield, process variability, statistical models, manufacturing data
This role has been open 22 days — well below the 53-day median for Yield Engineering roles.
Yield Engineering · Yield Engineering
|
Open roles in category
223
|
Median days open
53 d
|
Median salary
$136k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Lumentum | All employers we track in this specialty (223 roles · 36 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 223 |
| Median days open | 22 d | 53 d (−31 d vs this employer) |
| Median salary (USD postings) | — | $136k |
Skills observed across this category: FAB operations, yield, process variability, statistical models, manufacturing data
Who's hiring in this category
- Micron Technology · 115 open roles · median 57 d
- Intel Corporation · 14 open roles · median 16 d
- GlobalFoundries · 9 open roles · median 213 d
- Skyworks · 8 open roles · median 51 d
- STMicroelectronics · 8 open roles · median 36 d
- Infineon Technologies · 5 open roles · median 16 d
How we counted: 223 open Yield Engineering (Yield Engineering) roles from 36 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.
Lumentum
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