Lumentum

Data Scientist

• 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

Principal Data Scientist

Recruitment

• Independently source, screen, and assess candidates using varied channels
• Ensure alignment with technical requirements and organisational culture
• Present shortlisted candidates to hiring managers in a timely and structured manner
• Build and maintain relationships with functional leaders and hiring managers
• Understand current and future workforce needs and support effective hiring outcomes
• Develop and implement proactive recruitment strategies
• Build and maintain talent pipelines across technical and manufacturing disciplines
• Advise, educate, and influence hiring managers on market conditions, candidate availability, skill sets, and recruitment approaches
• Maintain a positive candidate and hiring manager experience
• Communicate clearly and manage expectations throughout the recruitment process

Principal Data Scientist

Senior Talent Acquisition Partner