Associate Engineering Data Scientist

Associate Engineering Data Scientist

  • Anywhere

BOEING

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. WeÂ’re committed to fostering an environment for every teammate thatÂ’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Do you want to make the skies even safer? Join an exciting Seattle, WA based data science team in performing complex data analysis of aviation data as an Associate Data Scientist . As modern aircraft produce increasing amounts of data in operations and maintenance, analytics is required to transform that data into actionable insight for BoeingÂ’s engineering and business teams.

As a member of the Boeing Global Services (BGS) Engineering Analytics team, the candidate will work to support other data scientists and data engineers to analyze data, perform data/feature engineering work, engage with customers, and assist in the growth of a key focus area for Boeing engineering in Safety Analytics. This BGS team is partnered with other analytics organizations to focus on identifying and solving critical safety needs utilizing in-service data and insights.

The BGS Data Sciences team is looking to hire an associate data scientist with knowledge in fields such as advanced statistics, data engineering, and experience with developing customer oriented reports and visualizations.

These skills will be used to coordinate with other Boeing engineering teams, Airline stakeholders, and other analytics teams in the effort to develop data-driven solutions for the measurement, characterization and analysis of airline operational safety.

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

Seattle, WA 98164

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