• Senior Data Scientist

    Job Locations US-VA-Mclean
    Job ID
    Information Technology
  • Overview

    By submitting your resume for this position, you understand and agree that ASEC may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
    ASEC is an Equal Opportunity/Affirmative Action Employer.

    We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. Equal Opportunity Employer Minorities/Women/Vets/Disabled.

    Candidates must already possess a current and active TS/SCI with Poly clearance to be considered for this position


    The sponsor requires a Data Scientist with experience in cyber risk and security.  The person selected for this position shall have practical hands-on, as well as enterprise/policy level experience.   This role includes applying established or developing new programmatic and quantitative methods to find patterns and relationships in large data sets; conducting mathematical, statistical, geospatial modeling, or other data-driven problem-solving analysis to address business operations questions; identifying and collaborating with collectors and analysts to determine the data needed to address problems, and incorporating insights and findings into a broad range of products.  These products can range from those that provide direct mission support to those that provide capabilities to peers and colleagues.  The work includes the design, modification, and/or use of scientific computing, programming, and mathematics. Specific responsibilities include, but are not limited to the following:


    • Collaborating with Cybersecurity SMEs to develop practical analytic cyber security behavioral models to identify, qualify, prioritize, and proactively manage cyber risks, e.g. anomalous behaviors across an IT enterprise
    • Applying rigor in qualifying the cyber risk in terms that can be used to prioritize cyber risk mitigation approaches
    • Developing warning triggers/conditions that indicate an unacceptable level of cyber risk
    • Assisting with the development and institution of a cyber-risk continuous validation and compliance system
    • Identifying and networking with appropriate internal and external sources to gather and/or exchange data on specialized matters.
    • Engaging with customers to determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
    • Building and exploit database and files
    • Advising customers on the methods and data needed and/or available to evaluation the problems.
    • Collaborating with collectors and analysts to identify and close gaps on complex problems; devising creative data collection and analysis strategies.
    • Conceiving, preparing, and communicate a wide range of strategic, highly complex graphics, computational models/tools, or written/oral assessments to internal and external customers.
    • Conceive and prepare thorough, well-argued and authoritative tactical and strategic analytic products (e.g., technical articles, graphic depictions, intelligence reports) summarizing the methods and results of data analysis
    • Acquiring, processing, and refining large or complex data sets from various sources, utilizing computer programming where necessary
    • Analyzing, evaluating, and assessing quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports.
    • Conducting statistical, mathematical, geospatial modeling or data-mining analysis in partnership with other Data scientist(s) or Analyst colleagues.
    • Anticipate and project a wide range of possible outcomes using scenario/alternative analysis, machine learning, and agent based modeling or other advance analytic techniques.
    • Identify, use, and/or develop a wide range of methodologies and analytic tools to address existing or potential intelligence problems and collection strategies



    • Knowledge and experience working with statistical tools such as, SAS, R, SPSS, Matlab, Mahour/MADlib, Stata,
    • Experience work with programming languages, such as SQL, C/C++, Java, Python, Perl
    • Experience working with data management tools, such as Hadoop, MapReduce, Pig, Hive, NoSQL, Tableau, Hbase
    • Working knowledge of appropriate analytic method and methodological tools in one or more fo the following areas:
      • Applied mathematics (e.g., probability and statistics, formal modeling, computational social sciences)
      • Computer programming (e.g., programming languages, math/statistics packages, computer science, machine learning, scientific computing)
      • Visualization (e.g., GIS/geospatial analysis, telemetry analysis )
    • Working knowledge of research design
    • Working knowledge of collection methods, capabilities, and tasking process
    • Familiarity with project management concepts and principles
    • Ability to leverage multiple data management tools to organize relevant information and make decisions
    • Bachelor’s degree or equivalent experience in engineering, IT, or computer science
    • Minimum of 12 years’ experience, plus 3+ years supporting the Sponsor
    • Excellent oral and written communications skills
    • Active TS/SCI w/Poly clearance
    • Requires 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with PhD.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed