{"id":3034492,"url":"https://alion.io/job/ge-aerospace-senior-data-scientist","title":"Senior Data Scientist","company":{"id":13089,"name":"GE Aerospace","domain":"geaerospace.com","url":"https://alion.io/company/geaerospace","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":28,"ghost_share":0,"stale_share":0.75,"repost_share":0.036,"time_to_fill_p50_days":17,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-21T21:05:54Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T05:16:17Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description Summary\nAs a Data Scientist, you will be part of a data science or cross-disciplinary team supporting commercially facing development programs that involve large, complex, and high-value datasets. You will work with computer scientists, software developers, engineers, product managers, customer-facing teams, and end users to build, validate, deploy, and support analytics solutions that solve real customer problems and create measurable business value.In this role, you will help develop analytics for the FlightPulse product, contributing across the lifecycle from exploratory analysis and data quality assessment through deployment, implementation, and customer support. You will work at the intersection of product development, technical execution, and customer engagement, applying analytical rigor and a collaborative approach in a cross-functional environment.\nThis role is well suited for a data science professional who is eager to grow their technical and customer-facing skills, works well on a team, and enjoys turning customer needs into useful analytical capabilities.\nJob Description\nEssential Responsibilities:\nDevelop, verify, and validate analytics to address customer needs and product objectives.\nWork as part of a cross-functional team to design and develop new analytics for the FlightPulse product.\nContribute to the development, deployment, support, and continuous improvement of the FlightPulse product.\nPerform exploratory, diagnostic, and targeted data analyses to identify patterns, trends, anomalies, and actionable insights.\nAssess data quality and perform data profiling, cleansing, transformation, and preparation to ensure data is fit for purpose.\nWork with product, engineering, and domain teams to understand analytical requirements and translate business problems into analytical solutions.\nCommunicate findings, technical issues, and recommendations clearly to technical and non-technical stakeholders.\nSupport customer implementation activities, including onboarding, analytics rollout, issue resolution, and deployment readiness.\nProvide customer support related to analytics performance, data quality issues, interpretation of outputs, and product functionality.\nParticipate in technical problem solving across the analytics lifecycle, including development, testing, deployment, and production support.\nHelp improve the quality, reliability, and usability of analytics embedded within FlightPulse.\nDocument analytical methods, assumptions, validation results, limitations, and support procedures.\nCollaborate with global and cross-functional teams, balancing technical quality with customer and business impact.\nContribute ideas to improve analytics development processes, validation practices, and support models.\nMinimum Required Qualifications\nBachelor’s Degree from an accredited college or university and a minimum of 3 years of experience in data analytics, data science, advanced analytics, or a related technical field\nFor candidates outside USA: Bachelor's Degree from an accredited college or university (Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline) with advanced experience as described throughout this job description.\nFor candidates in USA: Bachelor's degree from an accredited college or university (Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline) with a minimum of 3 years experience in data analytics, data science, advanced analytics, or a related technical field.\nDesired Characteristics / Technical Expertise:\nExperience performing exploratory data analysis, data cleansing, and data quality assessment on large datasets.\nExperience developing, testing, validating, or supporting analytical models, algorithms, or data-driven solutions.\nFamiliarity with EMS platforms (experience preferred but not required; training will be provided).\nExposure to customer implementation activities such as onboarding, deployment coordination, and issue resolution.\nExposure to customer support, including troubleshooting analytics, investigating data issues, and responding to user needs.\nStrong analytical and technical problem-solving skills.\nFamiliarity with supporting analytics through production deployment and post-deployment monitoring.\nAbility to connect technical outputs to product functionality and customer outcomes.\nExperience working with data science, software, or product teams, ideally in a commercially facing environment.\nWorking knowledge of statistical analysis, machine learning methods, and practical model validation approaches.\nExperience working with multi-source datasets in a product or operational setting.\nDomain Knowledge:\nInterest in or exposure to one or more industry sectors where GE operates (aviation experience a plus).\nAbility to understand customer problems and contribute to solutions that deliver measurable customer value.\nAbility to connect analytical work to operational outcomes, product performance, and customer adoption.\nBasic understanding of how analytics supports monitoring, diagnostics, optimization, and decision-making in commercial or industrial settings.\nTeamwork and Communication:\nExperience working effectively in team settings as a contributor and collaborator.\nSound critical thinking and structured problem-solving skills.\nGood presentation and communication skills, including explaining technical findings clearly.\nAbility to build working relationships and contribute to alignment in cross-functional environments.\nOwnership of assigned work, with the ability to manage multiple tasks and meet commitments.\nWillingness to share knowledge with teammates and to seek feedback and mentorship from senior colleagues.\nPersonal Attributes:\nOpenness to new approaches and willingness to help the team adopt improvements.\nAbility to work in changing environments with guidance from senior team members.\nCustomer-focused, proactive, and solution-oriented mindset.\nStrong learning agility and willingness to work across technical, product, and customer-facing activities.\nHigh attention to detail with a commitment to quality, accuracy, and follow-through.\nCollaborative approach with the ability to build trust across functions.\nStrong written and verbal communication skills.\nGE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.\nGE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.\nThis role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).\nAdditional Information\nGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.\nGE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.\nRelocation Assistance Provided: Yes","description_format":"text","description_chars":8868,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Life insurance","Parental leave","Professional development","Relocation assistance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Aerospace Manufacturing","Defense Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-21T21:05:54Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":0.9,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":17,"reasons":["conf:48","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/ge-aerospace-senior-data-scientist","json_url":"https://alion.io/job/ge-aerospace-senior-data-scientist.json","meta":{"generated_at":"2026-10-25T13:59:37Z","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":19976,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":13089},"rest":"https://alion.io/mcp/rest/get_company?id=13089"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fge-aerospace-senior-data-scientist"},{"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%2Fge-aerospace-senior-data-scientist"},{"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%2Fge-aerospace-senior-data-scientist"},{"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/ge-aerospace-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fge-aerospace-senior-data-scientist"}]}