Company
aviation
EIDIntern–FleetModelProcess
Neural analysis suggests this role is
optimal for Entry candidates.
“EID Intern – Fleet Model Process. Skills: Python, Statistics, Data Management. Weibull and Cost analysis. SV stream forecast modeling”
What You'll Achieve.
forecast shop visit stream and cost; deliverables that will be shared with Senior Leadership
Industry & Context.
data interpretation; outlier identification
What They're Looking For.
Must Have
Engineer student of Bachelor’s degree, Degree must be in: Physics / Engineering / Applied Mathematics / Data Science & Analytics (or related fields), Disciplined, self-driven & self-learning, can work independently without supervision, Shows initiative and is proactive, Familiar in the use of Python for data management (extraction, storage, cleansing, processing, and plotting), Understanding of basic statistic concepts and tools, Ability to work in multidisciplinary teams, Effective written and oral communication skills in English and Spanish, Presentation Skills: ability to communicate with Senior Leadership
Nice to Have
Project Management skills, Intermediate Statistics tech domain
What You'll Do.
Weibull and Cost analysis
SV stream forecast modeling
Engine field events investigation/classification
Development & maintenance of tools
Work with automation programs
How You'll Work.
Team & Collaboration
Working closely with a multi-disciplinary team to collect information, validate and share outputs
Communication Scope
Effective written and oral communication skills in English and Spanish; Presentation Skills: ability to communicate with Senior Leadership
Process & Methodology
Project Management skills
Full Job Description
# ******Job Description Summary****** Fleet Model Engineer # **Job Description** We are looking for an Engineering Student who would like to be part of a team in charge of a critical process for the aviation business. The ownership of the CF34 Fleet Model belongs to GEIQ, and as part of this team you’ll be working in the development of tools and models for data extraction, cleansing, interpretation, along with statistics to support models used to forecast shop visit stream and cost for a diverse set of CSAs (Customized Services Agreements). You will be responsible for deliverables that will be shared with Senior Leadership (up to VP levels) **_ESSENTIAL RESPONSABILITIES_** * Weibull and Cost analysis for SV stream forecast modeling * Engine field events investigation/classification * Statistical Analyses (Descriptive Statistics and Hypothesis Testing) * Working closely with a multi-disciplinary team to collect information, validate and share outputs * Development & maintenance of tools for Data Extraction, Preparation, Deployment & Interpretation * Work with automation programs to handle multiple data types & outlier identification ** _REQUIREMENTS_** • Engineer student of Bachelor’s degree. • Degree must be in: Physics / Engineering / Applied Mathematics / Data Science & Analytics (or related fields) • Disciplined, self-driven & self-learning, can work independently without supervision. Shows initiative and is proactive. • Familiar in the use of Python for data management (extraction, storage, cleansing, processing, and plotting) • Understanding of basic statistic concepts and tools • Ability to work in multidisciplinary teams • Effective written and oral communication skills in English and Spanish • Presentation Skills: ability to communicate with Senior Leadership ** _DESIRED CHARACTERISTICS_** • Project Management skills • Intermediate Statistics tech domain # ******Additional Information****** **Relocation Assistance Provided:** No
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