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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
Charleston, SC, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Health and Safety, Python Programming, SQL, PowerBI, Big Data Technology, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), Tableau, Data Analytics, R Programming, IBM Cognos, Statistical modeling, ETL frameworks, Causal inference, Large data sets, Data Analysis
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.
Boeing’s Enterprise Production Systems Engineering organization has an exciting opportunity for an Experienced Data Scientist to join our data analytics team in Charleston, SC.
Our Enterprise Production Systems Engineering organization is seeking an experienced data scientist to support the Strategic Integration Office Data Analytics Team. Our team aims to leverage Boeing's data assets to unlock insights, intelligence, and prediction to gain strategic advantage using the power of data analytics. The team's broad experience across engineering and manufacturing coupled with their expertise in building automated analytics solutions enables our Functional Chief Engineers to make decisionalytics Team. Our team aims to leverage Boeing's data assets to unlock insights, intelligence, and prediction to gain strategic advantage using the power of data analytics. The team's ns with elevated insights.
Position Responsibilities:
- Determine, define, and deploy predictive and prescriptive analytics solutions to meet business objectives
- Choose best fit methods, defines algorithms, validates and deploys models to achieve business results
- Performs necessary data preparation and enhancements to models
- Lead with innovation to build analytics related to engineering and manufacturing
- Support the maturation of data engineering using big-data platforms and ETL methodologies
- Develop machine learning models to create predictive indicators that support risk analysis or recommend preventive actions
- Create solutions on behalf of Enterprise Production Systems Engineering that increase stability of factory processes, tools, and equipment
This position allows telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options .
Employer not willing to sponsor applicants for employment visa status.
Basic Qualifications:
- Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, or other technical degree
- 3+ years of experience with large data (“big data”) analytics (e.g. statistical inference, or machine learning)
- 3+ years of experience in ETL (extract-transform-load)
- 3+ years of experience developing reports and insights utilizing reporting/data analytical/business intelligence tools such as Tableau, Power BI and Cognos
- 3+ years of experience in Data Science
- Experience in Python and/or R
Preferred Qualifications:
- Experience working in Production Systems Engineering or Industrial Engineering
- Experience in development of customizable NLP pipeline
- Experience in factory machine analysis
- MS Computer Science or Data Analytics / ML
Company Info.
BoeingThe Boeing Company is an American multinational corporation that designs, manufactures, and sells airplanes, rotorcraft, rockets, satellites, telecommunications equipment, and missiles worldwide. The company also provides leasing and product support services.
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IndustryAviation,Manufacturing
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No. of Employees141,582
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LocationBoeing International Headquarters, North Riverside Plaza, Chicago, Illinois, USA
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Website
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Jobs Posted
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