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Data Scientist

  2025-07-04     Lensa     Honolulu,HI  
Description:

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Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for SAIC.

Description

SAIC, a leading provider of systems engineering & integration, systems development & deployment, intelligence analysis and targeting, and training solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.

SAIC is seeking a highly motivated Data Scientist to join our team of professionals providing technical and program services to propel the organization forward at a location in Oahu, Hawaii.

The Data Scientist understands complex problems, develops solutions, and makes predictions based on collection and analysis which are then interpreted and communicated to assist with making informed organizational decisions. This individual will use statistical techniques and machine learning algorithms to identify patterns within massive amounts of structured and unstructured data, build predictive models, and develop data-driven solutions. The ideal candidate will utilize their data expertise and apply leadership and analytical skills to the mission, contributing to its success.

Responsibilities Include But Are Not Limited To

  • Design and execute advanced data science solutions for technical evaluation and decision support.
  • Manage complex technology portfolios across multiple acquisition programs.
  • Establish and maintain sophisticated knowledge and portfolio management systems to contribute to complex system integration and architectural design processes.
  • Conduct comprehensive technical assessments and feasibility studies and deliver detailed technical documentation and comprehensive reporting.

Qualifications

  • Active TS/SCI with Polygraph.
  • Bachelor's degree.
  • 3+ years of experience with using data science tools.
  • Experience with Exploratory Data Analysis and Anomaly Detection.
  • Experience with Cyber and Network domain, including Host and Network data, including Netflow.
  • Experience with using Python.
  • Experience with the transition of a research capability to an operational product.

Desired Qualifications

  • Master's degree in Computer Science or a related quantitative analysis field.
  • Experience with SIGINT, CNO, or cybersecurity operations.
  • Experience with developing and deploying analytics in a CLI, Web Page, or Web Service Prototype.
  • Experience in Java development of analytics and web services, including Java build tools, such as Maven.
  • Experience with Distributed Batch and Streaming Analytics.
  • Knowledge of strategic planning for increasing the scope and sustainability of Machine Learning.
  • Knowledge of Time Series Analysis Graph.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

REQNUMBER: 2506579

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

If you have questions about this posting, please contact ...@lensa.com

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    IT Services and IT Consulting

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