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Job Number: 1781378
Business: GE Capital
Business Segment: Capital - Americas
About Us: About UsGE Capital Americas:
At GE Capital Americas, we're redefining what's possible. Whether it's providing financing to purchase, lease and distribute equipment, or supplying our clients with the capital needed for their real estate and corporate acquisitions, refinancing and restructurings, the GE Capital Americas teams are dedicated to turning imaginative ideas into leading financial products and services that support the success of businesses worldwide.
GE Capital Americas is the top leasing company in North America and a leader in U.S. corporate finance. Here you'll work with the most talented people in the industry, employing world-class processes to execute projects with real impact. If you're an enthusiastic self-starter and a driven, creative, flexible problem-solver, then join GE in creating the next generation of financial products that will keep the world of business moving forward for generations to come.
imagination at work
GE is an Equal Opportunity Employer.
GE offers a competitive salary, outstanding benefits & the professional advantages of an environment that supports your development & recognizes your achievements.
GE offers an inclusive environment where employees have the opportunity to succeed and diversity is embraced as a competitive advantage in the marketplace.
The passion that our people bring to their work extends to their private worlds, and GE encourages a healthy balance between the two.
GE values education and is dedicated to providing the tools and training for your professional development. Posted Position Title: IT Leader, GECA Analytics COE Career Level: Experienced Function: Information Technology Function Segment: Business Intelligence Location: United States : Illinois City: Chicago Postal Code: 60661-3679 Relocation Assistance: No Role Summary/Purpose: GE is an equal opportunity employer, offering a great work environment, challenging career opportunities, professional training and competitive compensation.
Role Summary/PurposeEstablish GE Capital Americas' advanced analytics center of excellence to conceptualize cutting edge analytics approaches and develop reusable solutions. Build a high performing team of data scientists to execute high-volume, complex advanced analytics services on an ongoing basis. Works closely with the CIO of Businss Intelligence to define the team's strategy and offerings. Essential Responsibilities: Essential Functions/Responsibilities
Work in technical teams in application and deployment of data mining methods
Perform exploratory, and targeted data analyses
Assist in determining technical approaches to be used on major challenges; identify methodologies needed
Oversee application of such methodologies (eg neural nets, CART, Bayesian methods, etc.) on monitoring, classification, biotechnology, and financial research projects.
Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses; for critical projects, perform needed analyses
Effectively communicate technical analyses and results to business management
Build and lead a team of data scientists to work in conjunction with GE Capital Americas business units on big data and predictive analyses. Potential focus areas include remote monitoring and diagnostics, financial portfolio risk assessment, and predictive personalization. Qualifications/Requirements: Qualification/RequirementsBachelor's Degree in Computer Science, Mathematics, Applied Statistics OR in STEM Majors (Science,Technology, Engineering and Math)
Minimum of 7 years of experience with massive data sets (Big Data) Additional Eligibility Qualifications: GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Desired Characteristics: DesiredExperience to leadership within professional associationsExperience to perform on-demand, exploratory, and targeted data analyses to obtain insights from dataExperience to apply theoretical knowledge to solve industrial problemsExperience with integrated Big Data programming environments and Competency in major analytics software packages and programming environments (eg Hadoop/Map-Reduce, Mahout; Python, R, Java etc. in Big data paradigms)
Chicago IL, United States of America
GE
JS1781378
10/6/2013 1:22:33 AM
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