Senior Staff Data Scientist

GE Aerospace

. Develop AI, ML, and advanced analytics solutions that deliver demonstrable value to Unison, a GE Aerospace business .

Posted 9/21/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI and ML solution development, with strong capabilities in Python scripting and analytics development processes. Proven ability to lead teams, mentor junior members, and effectively communicate with stakeholders to deliver customer-focused solutions.

Highest-signal resume keywords

Data Science ExpertisePython ScriptingVersion Control (GitHub)Model Validation and DeploymentAI/ML Project Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data SciencePython ScriptingModel Management SolutionsAdvanced Modelling TechniquesAnalytics Development PlatformsMaintainable Code DevelopmentModel ValidationReproducibilityDeployment CriteriaLean Processes

Soft Skills

MentoringCustomer Value DefinitionCollaborationStakeholder CommunicationChange Agent

Industry Keywords

AI SolutionsML SolutionsFLIGHT DECK InitiativesKaizensVSMsGemba ActivitiesCross-Domain KnowledgeUser Experience SkillsDynamic Data InsightU.S. Person Status

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop AI, ML, and advanced analytics solutions that deliver demonstrable value to Unison, a GE Aerospace business
Lead horizontal teams and support junior team members
Assimilate customer requirements and translate them into timely, impactful, working solutions
Apply analytic expertise, cross-domain knowledge, and user experience skills while identifying new technologies
Work with Unison functional leaders to identify and prioritize impactful AI/ML projects
Support FLIGHT DECK initiatives, including Kaizens, VSMs, and Gemba activities
Engage customers continuously to maintain project focus and relevance
Work with local digital technology staff to ensure solution compatibility with existing business IT and data systems
Identify and pursue necessary changes as a change agent
Establish and communicate Data Science team members’ roles in relation to their function
Influence SPBs and below on decisions
Advocate for customers and communicate with a broad range of stakeholders
Develop, test, and release maintainable code
Determine and execute model validation, reproducibility, and deployment criteria
Leverage existing scripts and correlate analytical output to real-life outcomes
Collaborate with domain experts to derive insight from complex data

Requirements

What you’ll need

Bachelor’s degree from an accredited university or college with a minimum of 5 years of professional experience, OR associate degree with a minimum of 8 years of professional experience, OR high school diploma with a minimum of 10 years of professional experience
Minimum 5 years of professional experience in Data Science
Military experience is equivalent to professional experience
Legal authorization to work in the U.S.; employment visa sponsorship is not available now or in the future
Ability to prove U.S. Person status for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, or granted asylee/refugee status
Strong Python scripting capability
Confident use of version control, ideally GitHub
Experience developing, testing, and releasing maintainable code while following coding standards and analytic development processes
Experience using analytics development platforms and deployed analytics architectures
Knowledge of advanced modelling techniques, including integrating pre-trained models with simulations or other advanced modelling
Awareness of model management solutions covering model building and deployment
Ability to determine and execute model validation, reproducibility, and deployment criteria
Champion of FLIGHT DECK fundamentals and Lean processes
Demonstrated skill in defining and delivering customer value
Ability to guide and mentor others in AI, ML, and programming tasks
Ability to collaborate with domain experts to derive insight from massive, dynamic, ambiguous, and conflicting data

Benefits

Comp & perks

Professional development
Competitive compensation
Relocation assistance
Great work environment
Challenging careers
Drug screen and, where applicable, random and reasonable-suspicion drug and alcohol testing