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Data Scientist

Paragon Cyber Solutions

Washington, DCJobSeen 1w agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
Washington, DC
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearance

Job overview

Paragon Cyber Solutions seeks a Data Scientist to support a Government intelligence mission. The role applies data science techniques to intelligence data to identify trends, support predictive analysis, and communicate findings to decision makers. The Data Scientist develops and integrates algorithms for intelligence search and discovery, recommends data-management practices, and produces written, visual, and verbal products. A bachelor’s degree is preferred, along with two years of relevant experience.

Skills & qualifications

RequiredNice to have

Skills

PythonRSQLMachine LearningScikit-LearnTensorFlowPyTorchData MiningStatistical AnalysisPredictive ModelingLarge Dataset AnalysisData VisualizationTableauPower BIRelational DatabasesNoSQL DatabasesCloud ComputingGitAnalytical SkillsProblem SolvingTechnical Communication

Qualifications

Bachelor's Degree2 Years Relevant ExperienceTS/SCI ClearanceAbility to Obtain CI Polygraph

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Paragon Cyber Solutions is seeking a Data Scientist to support a Government intelligence mission. In this role, you will apply statistics, machine learning, data mining, and other data science techniques to large volumes of intelligence data to identify trends, support predictive analysis, and deliver clear findings to decision makers. You will develop and integrate algorithms that support intelligence search and discovery, recommend best practices for managing data, and produce written, visual, and verbal products that communicate complex technical results.

Clearance: TS/SCI with ability to obtain and maintain CI polygraph

Responsibilities:

  • Apply mathematics, statistics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and other scientific techniques to translate complex technical findings into graphical, written, visual, and verbal products.

  • Identify trends in existing intelligence data and leverage other Intelligence Community (IC) data sources.

  • Develop and use machine learning, data mining, and prediction algorithms based on open-source capabilities.

  • Integrate or code algorithms to support Government intelligence search and discovery missions.

  • Recommend best practices for managing data within hardware, software, storage, and bandwidth constraints.

  • Apply data science techniques to support predictive analysis, social media and crowd-sourced data analytics, wargaming, and strategy development.

  • Use exploratory analysis and rapid iteration on large volumes of data to quickly derive intelligence.

  • Prepare products that describe and document findings and activities.

Requirements

  • Bachelor’s degree preferred, with two (2) years of relevant experience.

  • Proficiency in Python, R, or SQL for data analysis and modeling.

  • Experience developing and applying machine learning models using open-source tools (scikit-learn, TensorFlow, PyTorch, or similar).

  • Experience with data mining, statistical analysis, and predictive modeling techniques.

  • Experience analyzing large, complex datasets to identify trends and produce findings.

  • Experience with data visualization tools (Tableau, Power BI, or similar).

  • Hands-on experience with relational and/or NoSQL database systems.

  • Familiarity with cloud computing and data management within storage and bandwidth constraints.

  • Experience with version control systems such as Git.

  • Strong analytical and problem-solving skills.

  • Ability to clearly communicate technical findings to non-technical stakeholders in written, visual, and verbal formats.

Benefits

  • Health Care Plan (Medical, Dental & Vision).

  • Retirement Plan (401K w/ employer matching).

  • Paid Time Off & 11 Paid Public Holidays.

  • Short and Long-Term Disability.

  • Healthy Work-Life Balance.

  • Training & Development.

Why Work For Paragon Cyber Solutions?

You want to make a difference. You want to be recognized by name versus being a number. You want to work with a company where you can grow and work in different areas to increase your knowledge/experience.

A Model of Excellence

That’s our motto in all we do and what we seek in our team members.

Are you a hardworking professional seeking a new opportunity that fosters growth? Look no further!

We are an award-winning minority, woman, veteran-owned, 8(a), EDWOSB, SDVOSB, Tampa, FL-based small business. We pride ourselves on delivering high-quality solutions that help our clients protect the integrity of their business operations.

How this job compares

Set against the 4,841 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • Washington, D.C. median$111–180K/yr72 salary ranges
  • US median$30–51/hr95 hourly ranges
Openings
Olive Jobs lists 87 open Data Scientist jobs in Washington, D.C. and 4,841 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Washington, D.C.
Experience
This posting asks for at least 2 years of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,205 postings).
Education
2,785 of the 4,841 open Data Scientist jobs (58%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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