Overview

Job Number:

Business: GE Aviation

Business Segment:

About Us: GE NYSE: GE works on things that matter. The best people and the best technologies taking on the toughest challenges. GE operates in over 160 countries and employs more than 300,000 people worldwide, finding solutions in energy, health and home, transportation and finance to build, power, move and cure the world. Not just imagining. Doing.

Posted Position Title: Staff Data Analytics Scientist

Career Level: Experienced

Function:
Engineering/Technology

Function Segment:
Applications and Software

Location:
United Arab Emirates

U.S. State, China or Canada Provinces:

City: Dubai

Postal Code: PO Box 11549

Relocation Assistance: No

Role Summary/Purpose: The Staff Data Analytics Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Essential Responsibilities:
: Work with customers to capture data and analytics requirements

: Develop, verify, and validate analytics to address customer needs and opportunities.

: Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

: Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

: Perform exploratory and targeted data analyses using descriptive statistics and other methods.

: Work with data engineers on data quality assessment, data cleansing and data analytics

: Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

: Communicate methods, findings, and hypotheses with stakeholders.

Qualifications/Requirements:
: Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 5 years analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial/industrial setting

: Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

: Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

: Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets

Eligibility Requirements

: Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.

: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen

: Must be willing to travel at least 10

: Must be willing to work out of an office located in San Ramon, CA

Additional Eligibility Qualifications:

Desired Characteristics: Technical Expertise:
: Demonstrates proficiency in implementation of logical/physical data models that support MDM best practices. Demonstrated skill in feature extraction and realtime analytics development and deployment
: Experience with programming in Python, R, Matlab and other commercial analytics tools
: Leverages existing simulation packages, analyzes and interprets simulation results, determines when adequate solutions or decision options are found, and correlates output to real:life outcomes.
: Constructs timely, rapid analysis to prove/disprove a specific project or customer objectiveBusiness Acumen:
: Demonstrated skill


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