Engineering Data Scientist 2

Engineering Data Scientist 2 jobs at Big-Data.digital

Engineering Data Scientist 2

$ Not disclosed

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 Global Services and Analytics & Digital Solutions (A&DS) Data Sciences team is looking to hire an early-career Engineering Data Scientist with advanced knowledge in fields such as machine learning techniques, advanced statistics, text analytics, and natural language processing to join our team in Seattle, WA. 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.

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 Analytics & Digital Solutions (A&DS) 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 Boeing Global Services business and engineering work streams.


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.

  • 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.

    Export Control Requirement:

    This 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. Employer will not sponsor applicants for employment visa status.

    Basic Qualifications (Required Skills/Experience):

  • 1+ year(s) experience in SQL

  • 1+ year(s) experience in Python analytics libraries such as Pandas, NumPy, or scikit-learn.

  • Experience with script development and diagnostics (Python, C++, PHP, Java).

  • Experience with cloud-based technology stacks for analytics development; Azure, GCP, etc.

Preferred Qualifications (Desired Skills/Experience):

Experience with any of the following is desired:

  • Experience working with services based business or engineering offerings.

  • Knowledge in developing ML pipelines in cloud based environments

Education & Experience:
A Master`s degree in data science, machine learning, applied statistics, mathematics, an analytics oriented scientific field of study, or an equivalent combination of education and experience. Or, a Bachelor’s degree in one of these technical fields and two years of experience

Relocation:

This position does offer 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.

All information provided will be checked and may be verified.

Please apply ASAP for this role as recruitment may commence before the end date.

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Published 2021-09-05

BOEING looks for a Engineering Data Scientist 2 in Seattle, WA location.

How much Data Scientist Jobs professional earns at BOEING?

The proposed salary for Data Scientist Jobs position at BOEING is Not disclosed.

Engineering Data Scientist 2 responsibilities at BOEING

According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.

Required Data Scientist Jobs qualifications at BOEING

To be disscussed with candidate