Senior Staff Data Scientist - AI/ML Solutions Lead

Y99000 General Electric Company; Jacksonville (FL); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GE Aerospace, through its Unison business, seeks a Sr Staff Data Scientist in Jacksonville, FL to lead AI/ML and analytics initiatives. You will translate customer requirements into impactful solutions, mentor junior staff, and coordinate with cross-domain teams to deliver deployable analytics at scale.

You will mentor others, leverage cross-functional expertise, and ensure alignment with FLIGHT DECK and Lean principles while navigating complex data landscapes.

Qualifications

• Bachelor’s degree or higher with 5+ years of professional experience in data science OR Associates with 8+ years OR high school diploma with 10+ years of experience.
• Minimum 5 years of professional experience in Data Science.
• Legal authorization to work in the U.S. without sponsorship.
• Strong Python scripting capability and experience with analytics platforms.

Responsibilities

• Change Agent - Identifies opportunities for necessary changes and pursues/leads them when appropriate.
• Collaboration - Establishes & communicates Data Science team members' roles in relation to their function.
• Comfort in Ambiguity - Acts and decides when information is incomplete, supports the team through ambiguity.
• Curiosity/Creativity - Pilots new ideas and processes, influences stakeholders, strong customer advocate and communicator.

Skills

Python scripting

Version control

Code development

AI/ML

Data analysis

Customer focus

Leadership

GitHub

Tools

GitHub

Analytics platforms

Job description

GE Aerospace, through its Unison business, seeks a Sr Staff Data Scientist in Jacksonville, FL to lead AI/ML and analytics initiatives. You will translate customer requirements into impactful solutions, mentor junior staff, and coordinate with cross-domain teams to deliver deployable analytics at scale.

You will mentor others, leverage cross-functional expertise, and ensure alignment with FLIGHT DECK and Lean principles while navigating complex data landscapes.