Jobs / United States / Boeing Company
Full Stack Data Scientist
Boeing Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 72 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 7 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Boeing Company paid sponsored hires in similar roles1 certified filing for “Data Scientist (Data Science)” (Data Scientists) in WA: $96k–$96k, median $96k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Boeing Company
The US Department of Labor certified 72 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 7 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Boeing Company →
About the role
Full Stack Data Scientist Company: The Boeing Company At Boeing, we innovate and collaborate to make the world better. Boeing Defense, Space & Security (BDS) is seeking a Full Stack Data Scientist to join the Business Transformation organization in support of modernizing how BDS operates through artificial intelligence, machine learning, and advanced digital capabilities. This role will help build and scale the technical foundations that enable secure, reliable, and production-ready AI/ML solutions across the enterprise. This position is ideal for a data scientist who brings a blend of data science, data engineering, MLOps, platform engineering, DevOps, and site reliability engineering (SRE) experience. The selected candidate will help design, implement, secure, and operate the infrastructure and platform services that support data pipelines, model training, model deployment, observability, and AI application delivery. The role will work across on-premises, hybrid, and cloud-based environments, with a strong emphasis on enterprise-grade security, resiliency, traceability, and operational excellence. The full stack data scientist in this role will partner closely with data scientists, software engineers, data engineers, cybersecurity teams, infrastructure teams, and business stakeholders to accelerate adoption of AI/ML capabilities within BDS. This includes enabling both traditional machine learning workflows and emerging generative AI use cases, including support for on-premises model serving, retrieval-augmented generation architectures, and modern model lifecycle management practices. The role requires strong systems thinking and the ability to translate business and mission needs into scalable platform solutions. The successful candidate will be expected to contribute both strategically and hands-on. They will help define best practices, build reusable patterns, automate infrastructure and delivery workflows, improve platform reliability, and support secure deployment of mission-relevant AI/ML systems. Depending on level, this role may also provide technical leadership, influence architecture decisions, and mentor other data scientists across the organization. This position offers the opportunity to shape the future of AI/ML enablement within Boeing BDS by building the secure and modern technical ecosystem needed to support transformation at scale. Key Responsibilities: • Design, build, deploy, and operate secure, scalable AI/ML platform capabilities for Boeing BDS users and programs • Develop and maintain data pipelines, workflow orchestration solutions, and data integration services that support analytics and machine learning use cases • Build and support MLOps workflows for model training, experiment tracking, model registry, deployment, inference, monitoring, and lifecycle management • Engineer and operate infrastructure for traditional machine learning and generative AI workloads, including on-premises and hybrid model serving environments • Deploy, administer, and optimize containerized applications and platform services using Kubernetes and associated ecosystem tools • Create and maintain Helm charts, deployment templates, automation scripts, and reusable platform patterns for AI/ML applications • Implement CI/CD and GitOps workflows to support secure, repeatable, and observable software and model delivery processes • Configure and support observability capabilities including metrics, logs, traces, dashboards, alerting, and reliability reporting • Apply DevSecOps principles across application and infrastructure delivery, including certificate management, secrets handling, access control, least privilege, and defense-in-depth controls • Support administration and integration of data storag