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Lumentum

Supplies photonic components for networks

Principal Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field is required.
  • At least 15 years of progressive experience in data science, applied statistics, manufacturing analytics, process engineering, yield engineering, operations research, or a closely related discipline is required.
  • An advanced degree in statistics, data science, industrial engineering, electrical engineering, materials science, physics, operations research, or a related quantitative field is required; 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 is required.
  • Deep understanding of FAB and factory processes, including process control, yield analysis, equipment behavior, production flow, test, quality, and manufacturing execution systems is required.
  • Expert knowledge of experimental design, design of experiments (DOE), regression, multivariate analysis, time-series modeling, anomaly detection, causal analysis, and statistical process control is required.
  • Advanced programming skills in Python and SQL, and strong experience working with large, complex, and high-dimensional datasets, are required.
  • Experience developing analytical solutions adopted by engineering, manufacturing, quality, or operations teams is required.
  • Ability to influence senior technical and business stakeholders across organizational boundaries is required.
  • Strong executive communication skills, including the ability to explain complex statistical and technical findings in clear business language, are required.
  • A proven record of technical leadership, mentoring, and raising analytical standards without requiring direct people-management authority is required.

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, work in progress (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, statistical process control (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 manufacturing execution systems (MES), SPC, fault detection and classification (FDC), run-to-run control (R2R), equipment, test, quality, enterprise resource planning (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.

About the Company

Lumentum

Supplies photonic components for networks

Lumentum designs and manufactures optical and photonic components for data networks, data centers, sensing, and manufacturing, including diode lasers. Its devices convert electronic signals into light to enable high-speed data transmission and 3D sensing. The company differentiates itself with a broad, high-volume photonics platform that combines silicon photonics, laser diodes for 3D sensing, and integrated optical components for cloud, networking, and manufacturing, supporting large-scale deployment. Its goal is to increase the speed, flexibility, and efficiency of communication networks and sensing systems to meet growing cloud data traffic.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
2015

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