Principal Data Scientist

Talentify; Greensboro (NC); On-site; USD 150,000 - 214,000; Full time

Benefits offered by this job

Health benefits

Equity potential

Annual bonus

Job summary

Lumentum Operations LLC is seeking a Principal Data Scientist to lead advanced analytics across FAB and factory operations from their Greensboro, NC site.

You will develop and deploy statistical and ML models, design experiments, and translate complex results into actionable business guidance for leadership and operations teams.

Qualifications

• Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or related quantitative field.
• 15+ years of progressive experience in data science, statistics, manufacturing analytics, or related disciplines.
• Advanced analytics and statistical modelling in manufacturing environments.
• Strong Python and SQL programming with large, complex datasets.

Responsibilities

• Lead the data-science and advanced-analytics agenda for FAB and factory operations.
• Partner with manufacturing and engineering leaders to frame problems and prioritize analytics work.
• Develop statistical, predictive, and prescriptive models from high-volume manufacturing data.
• Design and run experiments (DOE) to understand drivers and validate improvements.
• Communicate findings to engineers, operators, executives, and business leaders.

Skills

Python

SQL

Statistical modelling

Machine learning

Data visualization

Leadership

Education

Ph.D. or Master's in a quantitative field

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

As a Principal Data Scientist at Lumentum Operations LLC, you will lead the development and deployment of advanced analytical solutions to drive business innovation and operational excellence. You will leverage your expertise in data science, machine learning, and statistical modeling to extract actionable insights from complex datasets and inform strategic decisions across various functions.
Job Responsibilities:

• Lead the data-science and advanced-analytics agenda for FAB and factory operations.
• Partner with manufacturing and engineering leaders to frame problems, define analytical requirements, and prioritize analytical work.
• 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.
• Establish trusted analytical definitions, features, and data structures across lots, products, process steps, equipment, recipes, materials, test results, defects, and production events.
• Work with data engineering and platform teams to productionize datasets, features, models, and analytical applications.
• Support analytics across MES, SPC, FDC, R2R, equipment, test, quality, ERP, supply-chain, and planning systems.
• Review analytical methods and results for statistical rigor, data quality, interpretability, and practical usability.
• Communicate technical findings, assumptions, uncertainty, tradeoffs, and recommendations to engineers, operators, business leaders, and executives.
• Build reusable analytical methods, documentation, validation standards, and model-monitoring practices.
• Mentor data scientists, analysts, and engineers in statistical thinking, problem framing, modeling, and technical communication.
• Represent Corporate Analytics & Data Science as a trusted technical advisor to manufacturing and operations leadership.

Job Qualifications:**

• 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, operations research, or a closely related discipline.
• Advanced degree in statistics, data science, industrial engineering, electrical engineering, materials science, physics, operations research, or a related quantitative field; equivalent experience may be considered.
• 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.
• Experience developing analytical solutions that are adopted by engineering, manufacturing, quality, or operations teams.
• Demonstrated ability to influence senior technical and business stakeholders across organizational boundaries.
• Strong executive communication skills, including the ability to explain complex statistical and technical findings in clear business language.
• Proven record of technical leadership, mentoring, and raising analytical standards without requiring direct people-management authority.

Pay Range:

P80-USA-1 :$149,900.00 - $214,150.00

Disclaimer:

Final base salary for the successful candidate will depend on multiple factors, including but not limited to, job location, where work will be performed, qualifications, work history and relevant experience. With our continual goal of making Lumentum a best place to work for our employees, we strive to offer employees competitive total compensation packages, which may include annual bonus, commission for certain sales roles, equity, and health and welfare benefits.