GE Aerospace designs and manufactures jet and turboprop engines, along with integrated systems for commercial, military, business, and general aviation aircraft. Its work spans aerospace manufacturing, defense, and aviation technology, with a focus on improving engine efficiency, supporting alternative-fuel compatibility, and advancing safety and innovation across the aviation industry.
Senior Staff Data Scientist – Jacksonville, FL (Onsite)
Lead AI, machine learning, and advanced analytics initiatives for Unison, a GE Aerospace business. Guide teams, mentor data scientists, and turn customer requirements into deployable, high-impact models.
Description
- Create AI, machine learning, and advanced analytics solutions that produce measurable value for Unison, a GE Aerospace business.
- Lead cross-functional teams while supporting and mentoring less-experienced colleagues.
- Convert customer requirements into timely, practical, and effective solutions.
- Apply analytical expertise, cross-domain knowledge, and user-experience principles while evaluating emerging technologies.
- Partner with Unison functional leaders to select and prioritize high-value AI and machine learning projects.
- Contribute to FLIGHT DECK programs, including Kaizens, value-stream mapping, and Gemba activities.
- Maintain ongoing customer engagement to keep projects aligned with business needs.
- Coordinate with local digital technology teams to ensure solutions work with existing IT and data environments.
- Act as a change agent by identifying needed improvements and helping implement them.
- Define and communicate Data Science team members’ responsibilities within their functions.
- Influence decision-making at the SPB level and below.
- Represent customer interests and communicate effectively with diverse stakeholders.
- Build, test, and release maintainable software.
- Set and implement standards for model validation, reproducibility, and deployment.
- Reuse established scripts and connect analytical findings with real-world results.
- Work with subject-matter experts to uncover insights from complex datasets.
Requirements
- A bachelor’s degree from an accredited institution plus at least 5 years of professional experience, an associate degree plus at least 8 years, or a high school diploma plus at least 10 years.
- At least 5 years of professional experience in data science.
- Military service may be counted as professional experience.
- Must be legally authorized to work in the United States; current or future employment visa sponsorship is unavailable.
- Must be able to verify U.S. Person status for access to export-controlled information as a lawful permanent resident, U.S. citizen, or granted asylee or refugee.
- Strong Python scripting skills.
- Proficiency with version control, preferably GitHub.
- Experience creating, testing, and releasing maintainable code in accordance with coding standards and analytical development practices.
- Experience with analytics development platforms and production analytics architectures.
- Knowledge of advanced modeling methods, including combining pretrained models with simulations or other advanced modeling approaches.
- Familiarity with model-management solutions for model development and deployment.
- Ability to define and apply model validation, reproducibility, and deployment standards.
- Commitment to FLIGHT DECK principles and Lean practices.
- Proven ability to define and deliver customer value.
- Ability to coach and mentor others in AI, machine learning, and programming.
- Ability to partner with domain experts to extract insight from large, changing, ambiguous, and conflicting datasets.
Benefits
- Professional growth and development opportunities.
- Competitive compensation.
- Relocation assistance.
- Supportive work environment.
- Challenging career opportunities.
- Drug screening, including random and reasonable-suspicion drug and alcohol testing where applicable.