Mid-Level Engineering Data Scientist at Boeing in Oklahoma City, OK

Mid-Level Engineering Data Scientist

Company:

The Boeing Company

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! #TheFutureIsBuiltHere #ChangeTheWorld

 

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 or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background

• 5+ years of related work experience or an equivalent combination of education and experience

• 2+ years of experience in natural language processing

• 2+ years of experience in SQL

• Proficient with data visualization tools, such as Tableau.

• Proficient in deep learning frameworks such as PyTorch and TensorFlow

• Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions.

• Engineering domain knowledge relating to aircraft maintenance, design, or testing

• Experience working in an agile software development team

Relocation:

This position offers relocation assistance.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. 

Total Rewards and Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary pay range: $95,200 - $147,200

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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