Job Description

　　At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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.

　　The Boeing Commercial Airplanes (BCA) Data Analytics and Integration team is looking to hire Engineering Data Scientists in Everett, WA.

　　Our team is currently hiring for a broad range of experience levels including; Experienced or Senior Level Engineering Data Scientists.

　　Candidates must have knowledge in fields such as machine learning techniques, text analytics, advanced statistics and artificial intelligence. They will need experience developing end-to-end analytics solutions. These skills will be used to solve challenging problems centered on engineering production data and a predictive value stream. The Engineering Data Scientists will work together with 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.

　　This position is expected to be 100% onsite. The selected candidates will be required to work onsite in Everett, WA.

　　Position Responsibilities:

　　Modifies and analyzes complex 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

　　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

　　Identifies or leads teammates in determining best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications

　　Performs procedures in evaluation and validation of correctness of complex models and end-to-end deployment solutions. Leads evaluation and validation of team's execution of models and analysis

　　Develops analysis requirements given standard to complex business objectives; determining decision support needs, data and performance requirements, and fit-for-purpose solutions

　　Monitors production and deployment with client teams. Determines decision support visualizations and reports, algorithms, models, dashboard, and tool documentation and training requirements

　　Work Authorization:

　　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):

　　Bachelors of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering

　　5+ years of experience in data science or analytics

　　5+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)

　　5+ years of experience in performing statistical analysis

　　Preferred Qualifications (Desired Skills/Experience):

　　9 or more years' related work experience or an equivalent combination of education and experience

　　14 or more years' related work experience or an equivalent combination of education and experience

　　Experience in commercial aviation business or engineering

　　Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, etc.

　　Typical Education/Experience:

　　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.

　　Level 4: 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 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

　　Level 5: 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 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master+12 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.

　　Work Shift:

　　This position is for 1st shift

　　Union:

　　This is a union-represented position.

　　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.

　　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: (Experienced, Level 3): $121,550 - $164,450

　　Summary Pay Range: (Experienced, Level 4): $142,800 - $193,200

　　Summary Pay Range: (Senior, Level 5): $165,750 - $224,250

　　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.