Senior Data Scientist

GE Aerospace

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jacksonville, FL
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 81 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $156k

$98k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,225.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 37 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 24 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins a small team to develop data science solutions that provide clear business value across various functions including asset in-service deployment, fleet monitoring, supply chain, and financial operations. Working closely with internal stakeholders, the individual will translate requirements into working solutions, build custom in-house analytics tools, and support initiatives like Kaizen and VSM. The role involves managing large or complex datasets to solve real-world problems within the aerospace and aviation industry. Key technical competencies include Python analytical scripting, version control via GitHub, and experience with platforms such as AWS or Databricks. The candidate will apply advanced statistical methods, neural networks, computer vision, and large language models to deliver impactful projects. This position requires a blend of data science expertise and domain knowledge to provide high-value results for the organization's diverse business needs.

What does a Data Scientist earn?

Median $162000 from 278 postings across 59 companies.

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Skills

Python LLMs Computer Vision Neural Networks Advanced Statistics GitHub AWS Databricks Version Control Data Science Analytics

What you'll do

Translate internal customer requirements into functional data science solutions.
Develop, test, and deploy AI/ML models to solve real-world business problems.
Analyze large and complex datasets across various business functions like supply chain and fleet management.
Build custom in-house analytics tools to meet specific customer needs.
Apply advanced techniques including LLMs, Computer Vision, Neural Networks, and advanced statistics.
Communicate complex technical information clearly to both expert and non-expert stakeholders.
Support FLIGHT DECK initiatives such as Kaizen, VSM, and Gemba.

What we're looking for

Bachelor’s degree with 2 years of experience, Associate's with 5 years, or High School Diploma with 7 years of experience.
Must be a U.S. Person (U.S. Citizen, lawful permanent resident, asylee, or refugee) to access export-controlled information.
Legal authorization to work in the United States is required.
Python analytical scripting skills (preferred).
Knowledge and experience applying ML, AI, and advanced statistics to solve real-world problems (preferred).
Experience using Version Control, ideally GitHub (preferred).
Experience using an analytic development platform such as AWS or Databricks (preferred).
A keen interest in the Aerospace/Aviation industry (preferred).