To our valued Leidos candidates:

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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.

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Job #: R-00047788
Location: Springfield, VA
Category: Intel
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: No
Clearance: Top Secret/SCI
Referral Eligibility: Eligible
Group: Intelligence

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Description

Job Description:

The Intelligence Group at Leidos has an opening for a Geospatial Data Scientist to support our customer in Springfield, Virginia. This is an exciting opportunity to use your experience in GIS, scripting, and data science to support a national security customer. As Geospatial Data Scientist you will develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. You will conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. You will also visualize information using a range of tools (e.g., GIS, R), develop scripts and algorithms, create explanatory and predictive models, and conduct comparative analyses to address complex GEOINT problems. The candidate should have a geospatial background and a strong ability to independently conduct research and initiate projects in support of customer objectives.

Primary Responsibilities

The candidate will work directly with customers and team members and must be able to create, edit, research, evaluate, analyze, and fuse data from multiple sources and datasets to produce current and finished geospatial intelligence products. The candidate will participate in efforts to develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They will apply the application of programming, statistics and visualization to glean insights from large and disparate data sources. Data Scientists understand and utilize aspects of machine learning to solve and automate classification, regression, cluster analysis, anomaly detection, association discovery, and topic modeling tasks. These scientists understand and utilize solutions with predictive patterns from data into practical, intelligent applications that anyone can use. They visualize information using a range of tools, develop scripts and algorithms, create explanatory and predictive models and conduct comparative analyses to address complex problems. The candidate should have experience in creating and maintaining geodatabases and integrating and managing foundation, intelligence, and multi-INT data into structured geodatabases. The candidate will also create and develop complex scripts and algorithms (e.g. Python), create explanatory and predictive models and conduct comparative analyses to address complex military and intelligence problems. Duties may also include the visualization of information using a range of tools (e.g. Tableau, R, and ESRI Arc-GIS 10.4 suite, including model builder). Candidate will be expected to provide excellent customer support and consultation, interacting with analytic units in a professional manner to understand their challenges, incorporate their feedback, and provide quality solutions.

Basic Qualifications

  • Active TS/SCI
  • Bachelor of Science in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or a related field. In conjunction with proficiency and at least three years’ experience with applied data processing and scientific analysis of large datasets and machine learning
  • Knowledge of programming languages (e.g., Python JavaScript, SQL, Pig, or R_), spatial analysis tools and concepts, data mining methods, database structures, and analytic information extraction and visualization
  • Training in applied mathematics including statistics and mathematical modeling to support temporal and pattern analysis, correlation of events, probability analysis, and assessments of sampling, analysis of variance and error, and regression testing and analysis.
  • Competency in one or more programming languages such as JavaScript, Python, or R, for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation
  • Familiarization with modeling software (e.g. FME, SPSS, SAS) for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation
  • Experience programmatically connecting to database and web based data sources
  • Knowledge and experience in data mining, cleansing, and exploring spatial, temporal, and non-spatial data in both structured and unstructured formats
  • Experience with one or more cloud based technologies
  • Proficiency in MS Office suite
  • Strong time management skills
  • Comfortable working independently

Preferred Qualifications

  • Demonstrated ability to work in a very dynamic and demanding work environment
  • Demonstrated ability to work cooperatively as a team member
  • Masters of Arts or Science degree or higher in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or other.
  • Computational analytic modeling: experience engineering and tuning deep learning algorithms for data science.
  • Experience running command line operations in one or more operating systems: Windows and/or Linux (command line)
  • Experience connecting up to two or more database web sources: Database: Postgres, Oracle, SQLite, and/or Arc SDE. Web: API’s GeoJson, REST.
  • Demonstrated experience with two or more cloud based technologies

External Referral Bonus:

Eligible

Potential for Telework:

No

Clearance Level Required:

Top Secret/SCI

Travel:

No

Scheduled Weekly Hours:

40

Shift:

Day

Requisition Category:

Professional

Job Family:

Intelligence

Pay Range:

  

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 38,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020. 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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