Job Description SummaryEnterprise Optimization Research Scientist role is part of Enterprise Optimization Research lab within GE Aerospace Research Digital and Electrical Systems organization. As an Enterprise Optimization Researcher you will have the opportunity to work in multi-disciplinary research teams and develop and apply robust algorithms to enhance system performance of large complex systems driven by GE Aerospace and US Government technology needs. Candidates for this role should have strong theoretical background on algorithm development and have strong interest to learn deploying algorithms in scalable cloud and distributed computing environments within enterprise systems.Job DescriptionRoles and Responsibilities
Handling high-frequency multimodal data from distributed, heterogeneous information systems
Developing and testing algorithms within cloud-computing frameworks that solve large-scale problems
Code quick prototype analytics tools for early phase of software systems production
Contribute to development and writing of internal and external proposals
Patenting your inventions and develop a record of publication via conferences and peer reviewed journals
Research and develop tools, frameworks and processes to improve analytical methods, performance, scale and sophistication of algorithms and systems applications
Clearly and professionally communicate progress and results of your research with the team, business leaders, customers and technology providers
Working closely with project leaders and principal investigators to meet project deliverables.
The employee is expected to work independently as part of project teams.
Required Qualifications
PhD in Computer Science/Engineering, Applied Mathematics, Optimization, Statistics or closely related field OR MS Computer Science/Engineering, Applied Mathematics, Optimization, Statistics or closely related field with minimum of 3 years of professional experience in an industrial setting
Strong data handling skills such as acquiring, cleaning, and organizing large multimodal data sets, feature engineering to identify influential predictors, and using analytics to design and improve decision support system(s) in distributed and high-performance computing infrastructures
Fast learning capabilities for new tools, programming environments and analytical methods
Demonstrated development skills and documentation capability in Python, R, (Java, C is a plus) etc. in IDEs for the integration of analytical models into middleware and data bases
Demonstrated capability to rapidly develop prototypes of assets being used in processes, connecting assumption and real-time data, post processing analytics and decision-support systems
US Citizenship is required.
Due to the nature of the duties of this position, this role requires the individual to obtain and maintain US Government Security Clearance; prerequisite for a security clearance is U.S. citizenship.
Must be willing to work out of an office located in Niskayuna, NY
Preferred Characteristics
In-depth theoretical knowledge in one or more of the following areas:Statistical Learning, complexity theory, approximation algorithms, machine learning, combinatorial optimization, reinforcement learning
Experience in designing algorithms in large complex systems
Experience in designing standards and workflows for data ingestion, validation and calibration
Experience in full-stack software development
Ability to connect learning from past academic environment to industrial research environment. Strong desire to solve complex, real-world problems with ability to develop and validate solutions to narrowly defined technical challenges.
Excellent written and oral communication skills and effective interpersonal skills
Ability to adapt and thrive in a dynamic, outcome-focused industrial research environment
Self-motivated and ability to work independently and as part of a team with minimal guidance.
The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on November 13, 2024Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs ( i.e ., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.Additional InformationGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088EEOCKnowYourRights1020.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.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 drug screen (as applicable).Relocation Assistance Provided: Yes
Full-time