Boeing

Data Science Engineer (Associate or Mid-Level)

Seattle, WA US
USD 96k - 164k
Java Python GCP Azure AWS Machine Learning SQL
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Description
Data Science Engineer (Associate or Mid-Level)

Company:

The Boeing Company

Job ID:

00000421274

Date Posted:

2024-04-29

Location:

USA - Seattle, WA

Job Description Qualifications:

Join an exciting and growing team in performing complex data 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, and increase productivity. As a member of the Boeing Global Services (BGS) Engineering Analytics team, the candidate will work with a group of data scientists in the Seattle area to analyze data and provide advanced analytics technologies, including development, adaptation, and maturation of analytics capabilities for a wide range of applications across BGS business and engineering work streams.

The BGS Data Sciences team is looking to hire a data scientist with advanced knowledge in fields such as machine learning techniques, advanced statistics, text analytics, and natural language processing. These skills will be used to solve challenging problems centered around engineering and in-service data in operations research, managed services, predictive maintenance, and logistics optimization to support cross-functional teams to determine, define, and deploy data analytics to meet business objectives, investigate and apply best fit methods and algorithms, validate results, and perform necessary data preparation and enhancements to models.

Position Responsibilities:

  • Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables

  • Iterate and improve the deployment process of complex prognostic alerts to airline operators by optimizing the tech stack, monitor quality of the alerts, and work as intermediary between data scientists and software developers

  • Investigates data characteristics, complexity, quality and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers and drivers

  • Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data

  • Supports identifying best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications

  • Performs standard procedures in evaluation and validation of correctness of models and analysis. Supports evaluation and validation of performance of models and analysis

  • Supports determination of analysis requirements given business objectives

  • Supports determination of decision support needs

  • Matches data to requirements and performance metrics to support analysis

  • Monitors production and deployment. Prepares decision support visualizations and reports, algorithms, models, dashboards and/or tools

This position is hybrid. This means that 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 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. 

Basic Qualifications (Required Skills/Experience):

  • 1+ year(s) experience in SQL

  • 1+ years of experience with C/C++ coding or java/python script development

  • Cloud application development and deployment expertise

  • 2+ years of experience with data analytics capabilities and data science processes as an analyst

Preferred Qualifications (Desired Skills/Experience):

  • 3+ years of higher education and/or related work experience. (Higher education includes college, university, technical school, licensing/certification programs, etc.)

  • Experience working with services based business or engineering offerings

  • Knowledge in developing ML pipelines in cloud based environments

  • Experience in an agile software development team

  • Experience with cloud computing services such as GCP, Azure or AWS, experience

Typical Education/ Experience:

Associate (Level 2)

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.

Associate (Level 3)

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 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience). 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

Union:

This is a union-represented position.

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.

Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for associate level: $96,900 - $131,100

Summary pay range for mid-level: $121,550 - $164,450

Applications for this position will be accepted until May 5, 2024.

Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.

Relocation:

Relocation is available for eligible candidates, if authorized

Export Control Requirement:

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.

Safety Sensitive:

This is not a safety sensitive position

Contingent Upon Award Program

This position is not contingent upon program award

Experience Level:

Individual Contributor - 2

Job Type:

Regular

Job Code:

6CH0I2 (6X1)

Equal Employment Opportunity:

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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.

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