To our valued Leidos candidates:

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Job #: R-00057399
Location: Pittsburgh, PA
Category: Research Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 75%
Clearance: None
Referral Eligibility: Ineligible
Group: Civil

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Description

Job Description:

Leidos is a Fortune 500™ company aimed at embracing and solving some of the world’s most pressing challenges. Through science and technology, Leidos makes the world safer, healthier and more efficient.

Our Civil Group offers an array of exciting career opportunities for the best IT, energy, logistics and engineering professionals. 

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. 

Primary Responsibilities:

  • 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.
  • 2 years 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.

Driven by our talented workforce, the Integrated Missions Operation builds trust through an array of energy-related IT, environmental science and engineering solutions to meet our customers’ needs. 

Key Programs and/or Capabilities: 

Leidos is growing! Connect with us on LinkedIn and Facebook
We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive and ethical work place. In fact, in 2020, Leidos was ranked as one of the “World's Most Ethical Companies” by the Ethisphere Institute for the third consecutive year. 

External Referral Bonus:

Ineligible

External Referral Bonus $:

Potential for Telework:

Yes, 75%

Clearance Level Required:

None

Travel:

No

Scheduled Weekly Hours:

40

Shift:

Day

Requisition Category:

Professional

Job Family:

Research Scientist

Pay Range:

#Remote

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, homeland security, civil, and health markets. The company’s 40,000 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.

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