Associate Engineering Data Scientist

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The Boeing Company is seeking an Associate Engineering Data Scientist to support Boeing Global Services in Saint Louis, MO; Colorado Springs, CO; Oklahoma City, OK or Ridley Park, PA. Would you enjoy building machine learning models to predict component failures on a fighter jet? Or using the latest analytics techniques to create solutions no one has ever built before? Here, the sky is no limit. The Government Services Analytics team in Boeing Global Services has an opening for a data scientist. In this position you will work with an industry-leading team to create innovative health management solutions for government aircraft platforms in a dynamic, fast-paced team setting. Are you up for the challenge?

The successful candidate will have a strong data science background, with proven experience in a wide variety of data science techniques and approaches. Performs data analysis integral to the research, development, test and evaluation of company products or manufacturing processes. Investigates and applies best fit methods and algorithms, validates results and performs necessary data preparation and enhancements to models.

Robust knowledge of data cleansing techniques is important. Knowledge and experience using machine learning is foundational to this position. Experience using Python is critical, however knowledge of other programming languages such as R is also desirable. Experience with data visualization software such as Tableau is also helpful, as is prior aviation and engineering knowledge. Excellent communication and teamwork ability are critical for success.

Position Responsibilities:

• Creating new analytics models to provide as aftermarket services for our military customers is at the heart of what this position will require.
• Designing and developing machine learning models using a wide-array of methods, you will create solutions that empower users of our aircraft with unique insight.
• Interacting with customers to formulate their needs into specific requirements and deliverables will be a key part of the job.
• Working with systems and software engineering to make those visions a reality will be another key aspect of this position. Together with our larger team, you will work with cutting edge analytics tools to create solutions that help manage the health and operations of aircraft for users across the world.

This is a hybrid position that allows some telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

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

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree or higher from an accredited course of study in engineering, computer science, mathematics, physics or chemistry
• 2 years of relevant work experience
• Experience using Python on data science applications

Preferred Qualifications (Desired Skills/Experience):

• Advanced degree in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background
• Experience with military aircraft systems
• Experience with software engineering development processes and tools
• Experience with Condition-based maintenance techniques
• Experience with project management, including with agile development techniques
• Engineering domain knowledge relating to aircraft maintenance, design, or testing

Typical Education/ Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

Relocation:

This position offers relocation based on candidate eligibility.

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.

Shift:

This position is for 1st shift

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.

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $85,000- $131,100

Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Export Control Details: US based job, US Person required

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.