Mid-Level Engineering Data Scientist Security Clearance

Position: Mid-Level Engineering Data Scientist with Security Clearance
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace.

We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #The Future Is Built Here  #Change The World  Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer.

The Boeing Company is currently seeking a Mid-Level Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Plano, TX, Ridley Park, PA, or Oklahoma City, OK. In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms.

As a mid-level data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be analyzing data and applying machine learning and AI techniques to empower users with valuable insights to improve aircraft health management. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively.

The ideal candidate will have knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options.

Position Responsibilities:

* Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.

* Utilize natural language processing , data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling.

* Apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience.

* Collaborate with cross-functional teams to identify and define data requirements.

* Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments.

* Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.

* Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle.

* Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. To be considered for this position you will be required to complete a technical assessment as part of the selection process. Basic Qualifications (Required Skills/Experience):
* Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

* 2+ years of professional experience in data science, artificial intelligence, or machine learning

* 2+ years of experience in Python for data science applications

Preferred Qualifications (Desired Skills/Experience):
* Advanced degree (Master's…