{"id":1194159,"url":"https://alion.io/job/lumentum-principal-data-scientist","title":"Principal Data Scientist","company":{"id":5264,"name":"Lumentum","domain":"lumentum.com","url":"https://alion.io/company/lumentum","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":45,"ghost_share":0,"stale_share":0.911,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","Greensboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":240000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":178},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-24T18:14:18Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T04:38:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"It's fun to work in a company where people truly BELIEVE in what they're doing!\nWe're committed to bringing passion and customer focus to the business.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nAs 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.\nJob Responsibilities:\nLead the data-science and advanced-analytics agenda for FAB and factory operations.\n\nPartner with manufacturing and engineering leaders to frame problems, define analytical requirements, and prioritize analytical work.\n\nAnalyze FAB and factory processes, including yield, process variability, excursions, equipment behavior, throughput, bottlenecks, cycle time, WIP, rework, test fallout, quality, and scrap.\n\nDevelop and apply statistical, predictive, and prescriptive models using complex, high-volume manufacturing data.\n\nDesign and evaluate experiments, including DOE and controlled analyses, to understand process drivers and validate improvement actions.\n\nApply regression, multivariate analysis, time-series methods, anomaly detection, causal reasoning, SPC, and other advanced statistical techniques.\n\nEstablish trusted analytical definitions, features, and data structures across lots, products, process steps, equipment, recipes, materials, test results, defects, and production events.\n\nWork with data engineering and platform teams to productionize datasets, features, models, and analytical applications.\n\nSupport analytics across MES, SPC, FDC, R2R, equipment, test, quality, ERP, supply-chain, and planning systems.\n\nReview analytical methods and results for statistical rigor, data quality, interpretability, and practical usability.\n\nCommunicate technical findings, assumptions, uncertainty, tradeoffs, and recommendations to engineers, operators, business leaders, and executives.\n\nBuild reusable analytical methods, documentation, validation standards, and model-monitoring practices.\n\nMentor data scientists, analysts, and engineers in statistical thinking, problem framing, modeling, and technical communication.\n\nRepresent Corporate Analytics & Data Science as a trusted technical advisor to manufacturing and operations leadership.\n\nJob Qualifications:**\nPh.D. or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.\n\n15+ years of progressive experience in data science, applied statistics, manufacturing analytics, process engineering, yield engineering, operations research, or a closely related discipline.\n\nAdvanced degree in statistics, data science, industrial engineering, electrical engineering, materials science, physics, operations research, or a related quantitative field; equivalent experience may be considered.\n\nDemonstrated experience applying advanced analytics and statistical modeling in photonics, semiconductor, optical-component, wafer, electronics, or similarly complex manufacturing environments.\n\nDeep understanding of FAB and factory processes, including process control, yield analysis, equipment behavior, production flow, test, quality, and manufacturing execution systems.\n\nExpert knowledge of experimental design, DOE, regression, multivariate analysis, time-series modeling, anomaly detection, causal analysis, and statistical process control.\n\nAdvanced programming skills in Python and SQL; strong experience working with large, complex, and high-dimensional datasets.\n\nExperience developing analytical solutions that are adopted by engineering, manufacturing, quality, or operations teams.\n\nDemonstrated ability to influence senior technical and business stakeholders across organizational boundaries.\n\nStrong executive communication skills, including the ability to explain complex statistical and technical findings in clear business language.\n\nProven record of technical leadership, mentoring, and raising analytical standards without requiring direct people-management authority.\n\nPay Range:\nP80-USA-1 :$149,900.00 - $214,150.00Disclaimer:\nFinal 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.","description_format":"text","description_chars":4807,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Lasers & Laser Systems","Optics & Photonic Components"],"lifecycle":[{"event":"open","at":"2026-09-24T18:14:18Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":33,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lumentum-principal-data-scientist","json_url":"https://alion.io/job/lumentum-principal-data-scientist.json","meta":{"generated_at":"2026-09-28T05:22:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3587,"day_limit":5000,"remaining_today":1413,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}