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Job #: R-00092022
Location: Remote, US
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Clearance: Public Trust
Referral Eligibility: Eligible
Group: Civil

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Job Description:

Leidos is looking for a Data Scientist to join our team to support the Federal Aviation Administration (FAA) at the Mike Monroney Aeronautical Center.  The ideal candidate will be responsible for the following requirements:

  • Provide support for specialized data collection using query languages to create data and analyze data using artificial intelligence.
  • Provide support to development efforts through appropriate database use and project design.
  • Provide support in mining FAA datasets in conjunction with information analysis tools such as SPSS/R/Python/PySpark to use appropriate algorithms/machine learning/artificial intelligence to analyze the data.
  • Perform information analysis across multiple data sources to identify patterns, relationship and other analytical and statistical models to support data and research needs.
  • Provide support and consultation in evaluation using various information technology tools.
  • Contribute to documenting process and procedures for end users.
  • Provide support in the collaboration efforts with international partners for the implementation of interoperable open standards and procedures, innovative technologies, cultural shifts related to standards, the AIR organization of international and geographical standards and taxonomies of certifications, regulations, communication, and sharing of information technologies while protecting privacy.
  • Provide support for data management, protection of the security of information assets in analysis and data projects, preparation, development and dissemination of reports, graphs, briefs, and/or media to depict outcomes of data collected and analyzed.
  • Provide support in documenting supporting query criteria, business rules, requirements, processes, procedures, change control management, and associated impact assessments related to data analysis projects.
  • Provide support to facilitate, utilize, analyze structured and unstructured data from, but not limited to big data, social media, crowd sourcing, gamification, mobile devices, NoSQL data systems, cloud, and the related query and analysis tools.
  • Provide support to proactively identify risks and hazards with the growth and security of information assets, risk assessments and the protection of privacy information.
  • Provide support for Safety Management System (SMS) and Safety Risk Management (SRM), safety risk analysis and assessment, and standards development are required to support the efforts of the FAA.
  • Provide support to create and maintain a new make/model/series cross reference table that enables and supports the new FAA policy to adapt to the CICTT International make/model/series taxonomy.
  • Provide support to integrate existing tables into new taxonomies and data structures, allowing many disparate systems to share the same data while supporting existing and new systems.
  • Provide support to query multiple data systems to produce requested data and data analysis for internal FAA clients as well as external clients while adhering to the Freedom of Information Act regulations as well as FAA policies, processes, and privacy guidelines.
  • Provide support for business process analysis and documentation on special projects, recently developed systems and applications, and projects currently in development.
  • Provide support for software gathering requirements by leading user groups and documenting user stories for new and on-going software projects.
  • Provide support to assess program and software utilization, identifying redundancies and gaps.
  • Provide support to identify software issues and provide solutions to management as needed for software applications and systems.
  • Provide support to collaborate with engineers and key stakeholders to understand FAA needs and devise possible solutions to continued safety operations.
  • Provide support to compile, organize, and analyze data/information to find solutions to problems requiring the use of a broad range of established research methods and techniques.

Basic Qualifications:

  • BS degree in Data Science, Computer Science, Information Systems, Systems Engineering and 4 to 8 years of prior relevant experience or Masters with 2 to 6 years of prior relevant experience.
  • Requires strong SQL development skills – writing complex queries and stored procedures – SQL, PL/SQL, T-SQL.
  • Strong understanding of Software development lifecycle.
  • Excellent communication, documentation and presentation skills.
  • Ability to analyze structured and unstructured data from data sources, mobile devices, NoSQL data systems, cloud, and the related query and analysis tools.
  • Experience analyzing complex data sets and creating dashboards and visualization to find trends and patterns in data.

  • Experience with statistical analysis and information analysis tools such as SPSS/R/Python.

  • Solid understanding of Agile Project Management methodologies.

Pay Range:

Pay Range $74,750.00 - $115,000.00 - $155,250.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is a Fortune 500® 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 47,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022.   For more information, visit

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

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

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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