Experienced Data ScientistSeattle, Washington
Financial & Well
Health & Well
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Join an exciting and growing data science team in performing complex data analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics transforms 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 to analyze data and provide advanced analytics technologies. This work includes development, adaptation, and maturation of analytics capabilities for a wide range of applications across BGS business and engineering work streams affecting Boeing products and services.
The BGS Data Sciences team is looking to hire a Experienced Data Scientist with knowledge in fields such as machine learning techniques, advanced statistics, data engineering, and experienced with development of end-to-end analytics solutions. This position is in Seattle, WA.
These skills will be used to solve challenging problems focused on delivering decision support capabilities to business and engineering work streams. This position will support customers in a variety of areas such as Managed Programs (CSP, REP, IMM, etc.), Modifications, and Training Services to imbue their work streams with data-driven insights by integrating technical and business data systems and helping to build longer term engagement plans.
They will be responsible for individual projects wherein they 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 candidate will be expected to perform with general autonomy to solve problems, however they will be mentored and guided by senior technical leads.
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 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
Develops analysis requirements given 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
This position allows telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options.
The position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience):
Bachelor's degree or higher
3+ years of experience in SQL
3+ years of experience in either R or Python
1+ years of experience supporting Supply Chain, Managed Programs, or other Services business teams or domains
Preferred Qualifications (Desired Skills/Experience):
1+ years of experience in cloud technology (preferably Azure or GCP)
Experience working with engineering teams and data
Experience in developing end-to-end analytics solutions
Experience with engineering or airline operations
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 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.
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.
This position is for 1st shift.
This is a union-represented position.
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.
Contingent Upon Program Award
No, this position is not contingent upon program award
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