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Job #: R-00010763
Location: Bethesda, MD
Category: Data Scientist
Schedule (FT/PT): Full time
Travel Required: No
Shift: Day
Potential for Telework: No
Clearance Required: Top Secret/SCI with Polygraph
Referral Eligibility: Eligible
Group: Intelligence

Job Description:

The Intelligence and Homeland Security Group of Leidos is seeking a Journeyman Data Scientist to support the Chief Human Capital Office (CHCO) for an Intelligence Community (IC) program in Northern Virginia. An Active TS/SCI with polygraph security clearance is required to be considered for this position. The candidate will support Government staff in developing a broad range of written products in support of senior leadership and USG policymakers.

Primary Responsibilities
  • Provide expert and professional data scientists to implement effective and innovative solutions meshing disparate data types to discover insights and trends in human capital information. Perform work on a data science team to advance HCA across the IC. Centralize IC CHCO data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions. Develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.
  • Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.
  • Adapt freeware solutions such as R, and modular solutions for maximum flexibility. Provide an advanced capability for data analysis of human capital information from disparate data types, promoting visualization and storytelling to discover insights that help guide business decisions. Be forward leaning, exploring HCA solutions that benefit IC elements individually and collectively. Let the data tell the story including what is inconsistent or contradictory, and automate data cleansing as much as possible. Integrate data solutions and collection with IC Information Technology Enterprise to enhance connectivity with IC Elements.
  • Identify and customize, if necessary, Commercial Off The Shelf (COTS) Information Technology (IT) tools for administration and data collection, or to leverage, support, and integrate the process with tools built for the IC and/or its component elements. Any tools developed shall be web-based and web-enabled, designed to maximize feedback effectiveness while protecting employee assessment information, and include both structured interview and web-based tools for gathering feedback.
  • Assist in the development and maintenance of financial procedural guidance, templates and data formats, for identifying IC-wide workforce numbers, to include government, military, and contractor support. Review, assess data, identify data deficiencies and recommend solutions for remediation. Support quantitative and analytic efforts for workforce planning, development of financial procedural guidance data formats related to the Congressional Budget Justification Book (CBJB) planning displays, and analytic support for budget management and planning. Assist with ad hoc data requests from Congress, IC elements or as required by IC CHCO.
  • Coordinate and facilitate community of practice and working group meetings, to include meeting logistics, agenda development and presenter coordination, day-of execution and facilitation, documentation and distribution of meeting minutes and presentations. Present or coordinate presentations on relevant topics as directed by IC CHCO.


EDUCATION & EXPERIENCE: Requires BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain.

Basic Qualifications
  • Demonstrated experience performing data analysis and modeling on an independent (i.e., without significant guidance or direction) basis.
  • Demonstrated experience in developing and applying quantitative methods to find patterns and relationships in large human capital data sets (such as the Human Capital Data Call, Foreign Language Data Call, FAIR act data, etc.) using statistical and graphical packages.
  • Applied knowledge in the mathematical sciences such as probability, statistics, predictive modeling, computational social sciences; computer programming such as but not limited to Python, R, SAS, SPSS; and COTS data visualization packages such as but not limited to Tableau. Experience with Oracle Database and Procedural language/Structured Query Language (PUSQL).
  • Preferred experiences include but not limited to C#.NET, ASP.NET Model View Controller (MVC), jQuery, and Cascading Style Sheets (CSS), etc.
  • Demonstrated experience with structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative- tell a story with the data in graphical, verbal, or written form.


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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 .

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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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