To our valued Leidos candidates:

Coronavirus is on everyone's mind with the effects being felt around the world. The markets are volatile, and we're all concerned for the health and safety of our families, friends, and colleagues. Please know that we're taking all necessary measures to safeguard our employees, customers and the communities in which we live, including following all recommended best practices around social distancing.

With that in mind, in an abundance of caution, we are canceling all face to face career events, such as job fairs and open house events. In the coming days and weeks, we will be hosting career events virtually, using our online chat tools so that we may continue our hiring practice safely and securely. You can find available virtual career events at https://career-events.leidos.com.

We are using telephone meetings and online chats via Brazen to conduct interviews and hiring discussions, and we are offering options for video interviews so that you can have a virtual face to face meeting with your potential new leader. We do not conduct interviews or extend offers via text or chat based social media, such as WhatsApp or MySpace.

Leidos will never ask you to provide payment-related information at any part of the employment application process, nor will Leidos ever advance money as part of the hiring process. And Leidos will communicate with you only through emails that are generated by Leidos.com automated system. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to Chris Scalia, Leidos’ Senior Vice President of Talent Acquisition, at [email protected].

As a company, as a country, as a world, we have confronted challenging moments before. We are confident that, guided by our values and the strength of our community as well as the commitment we have to the important work we do each day, we will find our way through this time together. We will do this with the care and concern for one another and the common good that defines. Please keep those impacted by the virus in your thoughts.

Close Window
Join our talent network

Job #: R-00067010
Location: Remote, United States
Category: Research Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 100%
Clearance: None
Referral Eligibility: Ineligible
Group: Civil

Share: mail twitter linkedin

Description

Job Description:

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead!

An opportunity exists within the RSS Contract at National Energy Technology Laboratory (NETL)-Pittsburgh to join an interdisciplinary team participating in the research and development of advanced data analytics methods applied to energy infrastructure sensing applications, with an emphasis on natural gas infrastructure. NETL is a multi-disciplinary, scientific and technical-oriented national laboratory and the U.S. Department of Energy’s primary lab supporting fossil fuel-based energy research. The Data Scientist will collaborate on an interdisciplinary team spanning industry, academic, and national laboratory partners that seeks to develop and demonstrate advanced sensors and enabling technologies for energy infrastructure monitoring applications. 

Location: 100% telework

If this sounds like the kind of environment where you can thrive, keep reading!

Primary Responsibilities Include:

  • Research within the team to identify and apply advanced data analytics methods to characterize and classify spatial, temporal, and frequency dependent features of optical fiber based distributed sensing data. 
  • Utilize artificial intelligence and advanced data analytics methods for predictive monitoring of incipient failures within the natural gas infrastructure by leveraging distributed optical fiber sensing. 
  • The researcher will also have opportunities to engage in data analytics for wireless sensor technology platforms and other energy infrastructure, including subsurface monitoring.
  • Develop physics-based models for understanding failures of natural gas infrastructure and for accelerated training of analytics approaches. 
  • Field validation will ultimately be conducted for data collection.
  • Publications in high quality scientific peer-reviewed journals, presentations at national and international technical meetings.
  • Development of new intellectual property based on the innovative research.
  • Period status reporting and project reports (weekly/monthly/quarterly/annually) is required to update project managers and clients.
  • This position will require extensive interface with clients and potential collaborative partners, so excellent verbal and written communication skills are required.

Required Qualifications:

  • At least a M.S. degree in Statistical Methods, Mathematics, Data Science, Computer Science, Electrical Engineering, Applied Physics, Mechanical Engineering, or a related field and 2+ years of prior relevant experience.
  • Experience with development and application of advanced data analytics methods (e.g. artificial intelligence, principle component analysis, neural networks, machine learning, big data analytics) using custom developed algorithms or commercially available software packages.
  • An interest in intelligent techniques for energy infrastructure monitoring and sensing.
  • Experience with high performance computing environments, tools, and applications.
  • Excellent communication skills and a willingness and interest to collaborate in an interdisciplinary team environment to drive towards overall project and team objectives is also highly desired.

Preferred Qualifications:

  • Ph.D. degree is preferred, in Statistical Methods, Mathematics, Data Science, Computer Science, Electrical Engineering, Applied Physics, Mechanical Engineering, or a related field. Post-doctoral experience in a government-owned national laboratory is a plus.
  • Strong background in machine learning, artificial intelligence, and big data analytics applied in sensing data processing.
  • Familiar with multivariate analysis techniques for extracting information related to multiple parameters simultaneously from advanced sensing platforms.
  • Experience in advanced data analytics methods for optical fiber based distributed sensing data analysis as it relates to indicators of incipient failures and leaks within the natural gas infrastructure.
  • Knowledge of multi-physics modeling for natural gas pipeline failures.

Pay Range:

Pay Range $71,500.00 - $110,000.00 - $148,500.00

#Remote

COVID Response

Effective October 1, in order to enter Leidos facilities in the US and to attend Leidos business events outside our facilities, employees will be required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry.  Effective December 8, all Leidos employees must be fully vaccinated (2 weeks past final dose) unless they are entitled to a legal accommodation. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $12.30 billion for the fiscal year ended January 1, 2021.  For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

   Save Job Saved

Talent Community

Join our Talent Community to create a profile, enabling a streamlined application process and to help our recruiters better understand your areas of expertise and interest.

Join our Talent Community