Senior Level Data Scientist

Boeing

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profile Job Location:

Everett, MA - USA

profile Monthly Salary: $ 118150 - 171350
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Senior Level Data Scientist

Company:

The Boeing Company

Boeings 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.

Position 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

Basic Qualifications (Required Skills/Experience):

  • 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

Preferred Qualifications (Desired Skills/Experience):

  • 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

Conflict of Interest:

Successful candidates for this job must satisfy the Companys Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) 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.

Union:

This is a union-represented position.

Pay & Benefits:

At Boeing we strive to deliver a Total Rewards package that will attract engage and retain the top talent. 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.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location date of hire and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications as well as market and business considerations.

Summary Pay Range: $118150 - $171350

Language Requirements:

Not Applicable

Education:

Bachelors Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements a U.S. Person as defined by 22 C.F.R. 120.62 is required. U.S. Person includes U.S. Citizen U.S. National lawful permanent resident refugee or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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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.

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Required Experience:

Senior IC

Senior Level Data ScientistCompany:The Boeing CompanyBoeings 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...
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Key Skills

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  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
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