Senior Data Scientist

Boeing

. Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives .

Posted 4/27/2026full-timeSeattle • Montana, Washington • 🇺🇸 United StatesSenior💰 $162,350 - $234,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesLinuxPythonUnix

About the role

Key responsibilities & impact

Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, and deployment requirements
Collaborate with data engineers, data architect, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership, and cross-team updates

Requirements

What you’ll need

Ability to obtain a US Security Clearance for which the US Government requires US Citizenship
Bachelor’s degree or higher
5+ years of experience with AI/ML technologies, frameworks, models and ensembles
5+ years with container and container orchestration (Docker and Kubernetes)
5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses
5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)

Benefits

Comp & perks

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningartificial intelligenceMLOpsAIOpsGenerative AIdata engineeringdata pipelinesprogrammingcontainer orchestrationscripting

Soft Skills

leadershipcollaborationcommunicationstrategic thinkingproblem-solvingstakeholder managementorganizational change managementinnovation fosteringcross-team collaborationproject management

Certifications

Bachelor's degreeUS Security Clearance