{"id":3131739,"url":"https://alion.io/job/rtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr","title":"Principal Engineer, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":364,"ghost_share":0,"stale_share":0.838,"repost_share":0.011,"time_to_fill_p50_days":27,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Aguadilla, Puerto Rico"],"countries":["PR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":225000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Confluence","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-05-21T00:00:00Z","employer_posted_date":"2026-05-21","last_verified_at":"2026-10-26T09:01:44Z","board_verified":true,"closed_at":null,"days_open":158,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":158},"description":"Date Posted:\n2026-05-21Country:\nUnited States of AmericaLocation:\nUS-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110Position Role Type:\nHybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:\nU.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Security Clearance:\nNone/Not RequiredCollins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.\nThe Global Engineering & Technology Center in Puerto Rico (GETC-PR) is seeking a seasoned Principal Engineer with advanced skills in Data Analytics and Machine Learning and a strong background in mechanical systems to lead mechanical and analytics developments analyzing complex aircraft services and engineering datasets. This role entails leveraging expertise in data analytics, machine learning, and mechanical engineering to extract actionable insights, develop predictive models, and lead initiatives that enhance field performance and reliability.\nThe ideal candidate will possess a deep understanding of mechanical engineering principles, such as structural behavior, dynamics, and thermal concepts, to interpret complex datasets and collaborate with subject matter experts. This role will also include mentoring junior engineers, helping establish best practices, and driving strategic initiatives that align with organizational goals, offering opportunities for leadership and high-impact contributions.\nThis position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.\nThis role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.\nWhat YOU will do:\nLead and oversee the analysis of engineering and aircraft performance datasets, delivering actionable insights to improve product performance and reliability.\nDrive the development, training, and validation of machine learning (ML) models, with applications including predictive maintenance, service time estimation, and performance forecasting.\nDefine and standardize validation approaches, acceptance criteria, and performance metrics for analytical and ML models across multiple programs.\nGuide and mentor junior engineers on data analytics and machine learning methodologies, fostering skill development and technical growth within the team.\nServe as the primary technical liaison with engineering discipline owners, design teams, and external stakeholders to address critical engineering challenges and opportunities.\nDevelop and implement best practices for data curation, cleaning, integration, and preparation for analytics and ML workflows.\nOversee the analysis of strain gauge, structural, thermal, and flight/aircraft data, identifying trends, predictive indicators, and opportunities for system optimization.\nLead collaborative efforts with design, reliability, service engineering, and customer support teams to provide data-driven recommendations that enhance product performance and address customer needs.\nConduct advanced statistical analyses to assess quality, completeness, and integrity of engineering and enterprise data.\nResearch, evaluate, and implement cutting-edge ML algorithms (e.g., supervised learning, unsupervised learning, clustering, anomaly detection) to solve engineering challenges and improve performance.\nRepresent the organization in executive-level presentations, communicating technical recommendations and insights to leadership and customers.\nDevelop and maintain technical documentation, presentations, and reports for technical and non-technical audiences.\nAdvocate for and lead efforts in digital transformation, including leveraging digital thread, PLM systems, and model-based engineering workflows.\nOccasionally travel domestically and/or internationally to support project requirements, supplier engagements, or customer needs.\nWhat YOU will learn:\nYou will learn about our growing engineering team in Puerto Rico; What we do? Who we support? How we work?\nYou will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.\nYou will learn why people enjoy and feel fulfilled by working in our industry.\nQualifications you must have:\nTypically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience.\nDemonstrated professional experience communicating in English (verbal and written).\nU.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.\nQualifications We Prefer:\nExpertise in data analytics workflows, statistical methods, and engineering data interpretation, with a proven record of solving complex technical challenges.\nAdvanced knowledge of machine learning (ML) concepts, with demonstrated experience in developing, deploying, and validating models for prediction, classification, and anomaly detection.\nAdvanced degree in Mechanical Engineering, Aerospace Engineering, Data Science, or a related field.\nDeep understanding of mechanical engineering principles, including structural behavior, dynamics, thermal concepts, and aircraft systems.\nStrong experience with Python for data analysis (e.g., NumPy, Pandas, PySpark) and familiarity with ML frameworks such as TensorFlow or Scikit-learn.\nExperience with finite element analysis (FEA), structural analysis, thermal concepts, dynamics, or instrumentation data interpretation.\nProficiency with database tools and SQL for managing and analyzing datasets.\nAdvanced experience with data visualization tools (e.g., Tableau, Power BI) and the ability to present insights effectively to diverse stakeholders.\nExpertise in specialized engineering data such as strain gauge, thermal, or flight/aircraft performance datasets.\nExperience with Agile methodologies and tools (e.g., JIRA, Confluence) and experience in cross-functional collaboration.\nKnowledge and hands-on experience with digital thread, PLM systems, or model-based engineering workflows to drive digital transformation initiatives.\nWhat We Offer\nSome of our competitive benefits package includes:\nMedical, dental, and vision insurance\nThree weeks of vacation for newly hired employees\nGenerous 401(k) plan that includes employer matching funds\nParticipation in the Employee Scholar Program (ESP)\nLife insurance and disability coverage\nEmployee Assistance Plan, including up to 8 free counseling sessions.\nAnd more!\nLearn More & Apply Now!\nCollins Aerospace, an RTX business, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.\nJoin our growing engineering team in Puerto Rico, where you will provide critical support to all Collins SBUs, working on exciting programs and projects ranging from the development of the next generation of advanced concept ejection seats to the latest technologies for the U.S. warfighter.\nWE ARE REDEFINING AEROSPACE.\n* Please consider the following role type definition as you apply for this role.\nHybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.\nAt Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.\nApply now and be part of the team that’s redefining aerospace, every day.\nRTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.\nPrivacy Policy and Terms:\nClick on this link to read the Policy and Terms","description_format":"text","description_chars":8588,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Life insurance","Vision insurance"],"hiring_locations":[{"name":"Puerto Rico","iso":"PR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Missiles","Air Defense","Defense Manufacturing","Avionics & Flight Control"],"lifecycle":[{"event":"open","at":"2026-10-23T04:02:14Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.283,"p_room":0.28,"age_days":158,"expected_fill_days":27,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/rtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr","json_url":"https://alion.io/job/rtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr.json","meta":{"generated_at":"2026-10-26T09:47:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13325,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1162},"rest":"https://alion.io/mcp/rest/get_company?id=1162"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frtx-principal-engineer-data-analytics-and-machine-learning-hybrid-aguadilla-pr"}]}