{"id":2466939,"url":"https://alion.io/job/general-motors-senior-data-engineer-vehicle-quality-engineering","title":"Senior Data Engineer - Vehicle Quality Engineering","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","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":84,"open_postings":63,"ghost_share":0,"stale_share":0.841,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warren, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":168650,"currency":"USD","period":"year","gross":null,"usd_annual":168650},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-13T18:52:32Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-22T05:31:12Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Job Description\nThis role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].\nThe Role\nThe Senior Data Scientist will develop and operationalize data science solutions that identify emerging vehicle, software, and product-quality issues before they become larger customer or launch risks. This role partners closely with Product Quality, Warranty, Vehicle Engineering, software teams, and other subject matter experts to translate complex operational questions into trustworthy metrics, detection algorithms, dashboards, and alerting workflows.\nThe successful candidate will combine strong statistical and analytical judgment with the ability to build production-ready data products. They will work across the full lifecycle: understanding the customer problem, validating the data, developing and testing an analytical approach, deploying the solution, monitoring its performance, and continuously improving adoption and scalability.\nWhat You’ll Do\nPartner with subject matter experts to define meaningful metrics, analytical objectives, thresholds, and decision criteria.\nConduct comprehensive, unbiased analysis to identify trends, anomalies, relationships, and emerging risks in vehicle, software, warranty, diagnostic, fleet, and product-quality data.\nDesign, test, and deploy anomaly-detection and pre-emptive-monitoring algorithms for customer-impacting issues.\nBuild end-to-end analytical pipelines that transform raw data into reliable insights, dashboards, alerts, and operational workflows.\nCreate customer-focused visualizations that allow engineering and quality teams to investigate fleet, VIN, and software-version,\nDevelop alerting solutions that help internal customers respond quickly to high-priority vehicle and product issues.\nEstablish validation approaches using historical data, controlled testing, domain expertise, and-when appropriate-real-world observations.\nCommunicate findings, assumptions, limitations, and recommendations clearly to technical and non-technical audiences.\nImprove solution performance, scalability, reliability, and cost efficiency through model, query, pipeline, and architecture improvements.\nReduce complexity and redundant data handling by standardizing analytical processes and adopting modern Azure-based technologies.\nSupport vehicle and software launches by delivering readiness insights and analytical tools.\nDocument analytical methods, data lineage, operating procedures, and known limitations so solutions can be maintained and adopted across teams.\nContribute reusable patterns, best practices, and mentoring that increase the impact of the broader analytics organization.\nExpected Business Outcomes\nDeliver committed critical analytics features for internal customers with clear acceptance criteria and production support plans.\nLaunch or improve pre-emptive monitors that identify emerging vehicle, software, or product-quality concerns earlier than traditional reactive processes.\nProvide trusted dashboards and alerts that enable real-time, data-driven decisions for engineering, quality, warranty, and launch teams.\nImprove the performance, scalability, usability, and cost profile of existing analytics products.\nDemonstrate measurable customer value through reduced manual effort, faster issue investigation, improved launch readiness, or earlier risk mitigation.\nIncrease adoption by working directly with software domains and operational teams to understand how insights are used and where capabilities should expand.\nStrengthen analytical governance through documented definitions, validation methods, data quality checks, and repeatable operating practices.\nSelects appropriate analytical methods based on the business question, data limitations, and decision context.\nTests assumptions and validates results using sound statistical and domain-informed practices.\nBalances detection sensitivity, false positives, explainability, and operational usefulness.\nStarts with how internal customers make decisions and designs the solution around that workflow.\nConverts complex data into clear, actionable insights.\nBuilds trust through responsiveness, follow-through, transparency, and data quality.\nOwns outcomes across discovery, development, deployment, support, and improvement.\nTroubleshoots issues quickly and follows assigned work through completion.\nDesigns solutions that are maintainable, scalable, secure, and cost-conscious.\nExplores practical new methods and technologies when existing approaches do not adequately solve the problem.\nIdentifies opportunities to automate manual processes and improve performance.\nTakes educated risks while using validation and safeguards to minimize downside.\nWorks effectively with engineering, quality, warranty, analytics, and business partners.\nListens actively, shares information, and builds productive relationships.\nMentors others and contributes reusable knowledge to the organization.\nRepresentative Work in This Role\nDevelop pre-emptive detection for emerging product-quality issues and other customer-impacting patterns.\nBuild algorithms that summarize suspect behavior and help engineering teams identify problematic charging conditions or stations.\nCreate dashboards and alerts that provide timely visibility into VIP vehicle concerns, launch readiness, fleet behavior, and production risks.\nImprove ingestion, query, and dashboard performance while reducing manual preparation and cloud-resource costs.\nIntegrate additional signals-including warranty, diagnostic, software, and operational data-to improve detection confidence and business context.\nMeasures of Success\nSuccess will be evaluated through a combination of technical quality, customer impact, and organizational contribution, including:\nAccuracy, precision, recall, timeliness, and operational usefulness of deployed detection solutions.\nAdoption and satisfaction among engineering, quality, warranty, and launch-readiness customers.\nReduction in time required to investigate issues, prepare meetings, extract data, or respond to high-priority risks.\nReliability, performance, scalability, maintainability, and cost efficiency of production analytics products.\nCompletion of committed critical features and effective production support.\nQuality of documentation, data definitions, validation practices, and knowledge sharing.\nDemonstration of GM behaviors: Own the Outcome, Think Customer, Innovate Now, Win with Integrity, Commit to Customers, and One Team.\nYour Skills & Abilities (Required Qualifications)\nBachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.\n7+ years of data engineering/development or related experience \nExperience applying statistical analysis, machine learning, anomaly detection, forecasting, classification, or related data-science methods to real-world business or engineering problems.\nStrong Python skills for data analysis, algorithm development, automation, and production-oriented data workflows.\nExperience querying, transforming, validating, and analyzing large and complex datasets using SQL and modern data technologies.\nDemonstrated ability to take an analytical solution from problem definition through testing, deployment, monitoring, and continuous improvement.\nExperience communicating analytical results and recommendations to stakeholders with different levels of technical expertise.\nStrong data-quality mindset, including the ability to investigate discrepancies, assess assumptions, and explain limitations.\nDemonstrated ownership, sound judgment, responsiveness, and ability to deliver work to completion in a cross-functional environment.\nWhat Can Give You a Competitive Advantage (Preferred Qualifications)\nExperience with Azure data services, Data Factory, Databricks, data pipelines, workflow orchestration, or comparable cloud technologies.\nExperience building operational dashboards, alerting tools, or decision-support products for engineering, quality, warranty, manufacturing, fleet, or customer-facing teams.\nExperience working with vehicle, telematics, diagnostic, warranty, software-version, =-or product-launch data.\nExperience with time-series data, event data, fleet-level analysis, VIN-level investigation, or software-quality monitoring.\nExperience with modern deployment practices such as Git-based workflows, CI/CD, or Databricks Asset Bundles.\nFamiliarity with data modeling, data lineage, reusable analytical patterns, and scalable solution design.\nExperience evaluating whether AI/ML methods can improve detection quality while controlling false positives and operational burden.\nExperience mentoring peers, sharing technical best practices, or leading work across organizational boundaries.\nThis job may be eligible for relocation benefits.\nCompensation: \nThe expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. \nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. \nBenefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. \nGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seek...","description_format":"text","description_chars":12369,"description_truncated":true,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-13T18:52:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.585,"p_room":0.75,"age_days":9,"expected_fill_days":12,"reasons":["conf:24","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":168650,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-senior-data-engineer-vehicle-quality-engineering","json_url":"https://alion.io/job/general-motors-senior-data-engineer-vehicle-quality-engineering.json","meta":{"generated_at":"2026-10-24T03:47:58Z","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":5986,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-senior-data-engineer-vehicle-quality-engineering"},{"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%2Fgeneral-motors-senior-data-engineer-vehicle-quality-engineering"},{"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%2Fgeneral-motors-senior-data-engineer-vehicle-quality-engineering"},{"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/general-motors-senior-data-engineer-vehicle-quality-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-senior-data-engineer-vehicle-quality-engineering"}]}