Senior Level Data Scientist

Boeing • Seattle, WA

8d

About The Position

Boeing’s Global Real Estate and Facilities (GREF) organization is seeking a Senior Level Data Scientist to support the Enterprise Reliability Engineering and Asset Management team. This role requires the analysis of internal and external data across a broad array of systems that are integrated into multiple data warehouses. The applicant will be expected to develop both predictive and prescriptive analytics for teams supporting reliability engineering and asset management. They will collaborate with the Data Management Office, Analysts, and Engineers to support road-mapping activities and data integration. The ideal candidate will help with overall vision planning as well as designing and implementing systems, tools, and processes necessary to support. At Boeing, our values are at the heart of everything we do. We are committed to: Safety & Quality, Trust, People Focus, Ownership, and Innovation. As a member of this team, you will demonstrate these values in your work, contributing to a culture that prioritizes safety, quality, and continuous improvement. This exciting opportunity is available at any of the following Boeing sites: Auburn, WA; Everett, WA; Hazelwood, MO; North Charleston, SC; Renton, WA or Seattle, WA.

Requirements

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science
• 5+ years of experience developing data science algorithms to aid and assist in optimization and predictive analysis
• 5+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)
• Extensive data manipulation and analysis experience

Nice To Haves

• Experience in Facilities, Reliability Engineering or Asset Management
• Experience using Corrigo or other Computerized Maintenance Management System
• Experience with supporting data governance, data dictionaries, and data mapping

Responsibilities

• Develop integrated roadmaps for analytics capability leveraging internal and external resources
• Determine strategies for the progression of analytics to align with business focus and priorities
• Define and deploy predictive/prescriptive analytic solutions
• Evaluate business objectives, determine stakeholder needs and identify requirements
• Choose best fit methods, define algorithms, validate and deploy models to achieve business results
• Support the end-to-end data feed from source systems to a data warehouse
• Create data visualizations to meet customer requirements
• Work with the Reliability Engineering and Asset Management team to integrate new data science methodologies into existing and new applications
• Develop strategies for integrating legacy systems into next generation systems with AI integration
• Support major projects by defining the work scope, estimated cost, and scheduling through the performance of risk analysis using project management tools

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees