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Data Scientist
Posted on 11/24/2022
Locations
Reston, VA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Creativity
Data Analysis
Data Science
Data Structures & Algorithms
Hadoop
Jupyter
C/C++/C#
Java
Linux/Unix
Pandas
Ruby
Python
Requirements
  • Bachelor's degree in applicable field applicable to the position
  • 8 or more years of relevant experience required. Additional experience may be considered in lieu of degree
  • Experience with Python scripting, Pandas, Excel
  • Experience with Jupyter Notebooks
  • Experience with Data Analysis, Engineering and Enrichment
  • Strong testing and verification skills
  • Ability to work in a fast-paced, high visibility environment
  • Must have the ability to work independently and in a team environment
  • Good communication and problem solving skills
  • Experience working in a collaborative team environment
  • TS/SCI clearance with Polygraph required
Responsibilities
  • Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and index requests against high-volume collections of data and high-velocity data streams
  • Has the ability to make discoveries in the world of big data
  • Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
  • Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions
  • Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++)
  • Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST
  • Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics
  • Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr
  • Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering
Desired Qualifications
  • Security+ or other IAT II/III level certification
  • ArcGIS automation and modeling
  • Experience with SAFEHOUSE web GIS platform
Leidos

10,001+ employees

Scientific & engineering systems integration service
Company Overview
Leidos’s mission is to make the world safer, healthier, and more efficient through technology, engineering, and science. The company is a leader in systems integration and technical solutions while working closely with all branches of the U.S. military, the U.S. Department of Defense, other U.S. government civil agencies, and also customers in select markets across the globe.
Benefits
  • Medical, dental, & vision insurance
  • Health Savings account
  • Income protection
  • PTO
  • Paid parental leave
  • Jury duty pay
  • Bereavement leave
  • 401(k) Retirement Plan
  • Employee Stock Purchase Plan
  • Family Benefits
Company Core Values
  • Integrity: Is having the courage to make tough ethical decisions, taking pride in our work, being transparent with our team, and being respectful of everyone.
  • Inclusion: Is fostering a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.
  • Innovation: Is not limited to our engineers and scientists. It is acting as a catalyst. Being tenacious and curious to help us excel and be a part of a learning organization.
  • Agility: Is being flexible, creative, and resilient. It is our ability to think and act small while using the size and strength of our balance sheet to our advantage.
  • Collaboration: Is being team-oriented and proactively engaging to meet shared objectives. It is about building relationships and staying connected with each other.
  • Commitment: Is being accountable, taking ownership, modeling servant leadership, and operating with a sense of urgency to our customers and teams.