Sr Staff Data Scientist

Job Description SummaryThe Sr Staff Data Scientist will work individually and / or lead horizontal teams to develop AI / ML / advanced analytics solutions which bring demonstrable value to Unison (a GE Aerospace business).

You will be able to quickly assimilate customer requirements and translate these into timely, impactful, working solutions. You will have a strong appreciation of how analytics will be deployed and used by our internal Unison customers. In this role you will be continuously exercising your analytic expertise, cross-domain knowledge and user experience skillset, as well as identifying new technologies to work on. You will lead and support junior team members.

You will work closely with Unison functional leaders to identify and prioritize suitable, impactful AI/ML projects and actively support FLIGHT DECK specific initiatives including Kaizens, VSMs and Gemba's. You will be constantly engaging with the customer to maintain project focus and relevance. You will work with local DT staff to ensure solution combability with existing business IT and data systems.

Job Description

Job 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 appropriately when all available information may not be possible to obtain. Supports the team to drive through ambiguity.
• Curiosity/Creativity - Connects ideas and solutions from a broad array of sources. Pilots new ideas and processes that have not been utilized before.
• Influences SPBs and below on their decisions
• Strong customer advocate and experienced communicator with a broad range of stakeholders.

Minimum Requirements:

• Bachelor’s degree from accredited university or college with minimum of 5 years of professional experience OR Associates degree with minimum of 8 years of professional experience OR High School Diploma with minimum of 10 years of professional experience
• Minimum 5 years of professional experience in Data Science
• Note: Military experience is equivalent to professional experience

Eligibility Requirement:

• Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job.

Preferred Qualifications

• Strong Python scripting capability
• Confident user of Version Control, ideally Github 
• Develop, test and release maintainable code; follow coding standards and analytic development process.
• Experience of using analytics development platforms and deployed analytics architectures.
• Advanced modelling techniques – including integrating previous pre-trained models with simulations or other advanced modelling.
• Awareness of different solutions for model management that includes model building and deployment.
• Determines and executes model validation, reproducibility, and deployment criteria.
• Ability to get results fast - leveraging existing scripts, determining when adequate solutions or decision options are found, and correlate output to real-life outcomes.
• Champion of FLIGHT DECK fundamentals and Lean processes 
• Demonstrated skill in defining and delivering customer value.
• Guides/mentors others in AI, ML and programming tasks.
• Collaborates with domain experts to derive insight from massive, dynamic, ambiguous, and often conflicting data.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Additional Information

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.